Spectral decomposition based inversion: application on Brenda Field, Central North Sea Basin
|
|
- Aubrie Hill
- 5 years ago
- Views:
Transcription
1 first break volume 31, October 2013 special topic Spectral decomposition based inversion: application on Brenda Field, Central North Sea Basin Baskoro Arif Kurniawan 1, Ehsan Zabihi Naeini 2* and Dinara Kazyyeva 1 show how spectral decomposition based inversion on the Brenda Field can be used to get an idea of how the reservoir varies laterally and also to predict the decompositional environment of the reservoir and give a better understanding of the spatial continuity of the sand reservoir using timefrequency decomposition. B renda field is located at the Outer Moray Firth in the UK Central North Sea Basin. It lies approximately 120 km northeast of Aberdeen in Block 15/25b as shown in Figure 1. Brenda is a complex stratigraphy trap from channelized deep-marine turbidite sandstones. The main reservoir interest is an oil reservoir from the Paleocene Forties Sandstone. This sand has the character of a blocky sand package and is located below a consistent package of shale in the top Sele formation, which can easily be correlated across the Brenda field. Structural and stratigraphic correlation has been conducted to get an idea of how the reservoir varies laterally and also to predict the depositional environment of the reservoir. The structural correlation is illustrated in Figure 2, whereas stratigraphic correlation is illustrated in Figure 3. There are six wells used in the well correlation process along line A-A on the location map shown in both figures. Stratigraphic correlation gives interesting information which indicates a geological channel feature when flattening on the top Sele shale marker and also shows lateral sand body continuity inside the channel. These channel features consist of Paleocene sand in the upper part and a shale-filled channel in the lower part. The flattened seismic section on the top Sele shale horizon also enables us to see the channel feature around 2-second TWT, as shown in Figure 3. Figure 1 Location map showing position of Brenda Field and structural setting of UK central North Sea Basin. 1 Imperial College London. 2 Ikon Science. * Corresponding author, enaeini@ikonscience.com 2013 EAGE 83
2 special topic first break volume 31, October 2013 Figure 2 Structural correlations between well and seismic. Figure 3 Stratigraphic correlations between well and seismic EAGE
3 first break volume 31, October 2013 special topic We performed spectral analysis in order to get a better understanding of the spatial continuity of the sand reservoir in the Brenda Field. Time-frequency decomposition is a relatively new approach in seismic data processing and interpretation, which has been determined to be valuable in analyzing the time and frequency properties of the seismic signal. Miao and Cheadle (1998) claimed that the visualization of certain seismic attributes enables us to obtain more detailed subsurface information. Different techniques for spectral decomposition have been developed and described by various authors e.g. Chakraborty and Okaya (1995), Castagna et al. (2003), and Castagna et al. (2004), Wang (2007). We use discrete wavelet transformation to decompose the seismic data into different frequency bands for the purpose of spectral and coloured inversion as described in more detail below. Methodology and workflow Spectral inversion The spectral inversion algorithm (Ikon Science proprietary technology) is based on a generic observation that the seismic response at a given trace position and at any sample is the sum of tuning responses at that particular sample. We also know that a seismic tuning response is always stronger than a non-tuned reflection. We can therefore assume that at a given trace position, for any travel time t the signal returned is made up of tuning responses from the layers of different thickness which ends at t. Consider a single frequency F; the signal strength at time t and frequency F depends on the impedance contrast at top and base of the layer whose time thickness is the tuning interval 1/2F, and whose base is at travel time t because a tuning response cannot occur before the arrival from the base of the layer. This suggests that an impedance trace can be modelled as a superposition of tuning-thickness blocks for different frequencies. Spectral inversion, as schematically shown in Figure 4, is a trace-bytrace operation consisting of three basic steps: 1. Perform spectral decomposition to decompose a seismic trace into a frequency band component. 2. Acquire scaling factor for each frequency components, to match an earth impedance spectrum. 3. Create an output impedance trace by adding tuning thickness blocks from each frequency component in accordance to the scale amplitudes of the component trace samples. Spectral inversion on Brenda Field We used the near and far angle stacks for this study after applying some data conditioning to further enhance the quality of the seismic data. The key stages of seismic data conditioning were offset spectral balancing, time alignment to remove the residual NMO, and dip-steered denoising. Although all these data conditioning methods played an important role in the overall outcome of this work, the impact of dip-steered filtering was dominant. An example time slice is shown in Figure 5 where we can observe a clearer image with sharper geological features. The goal of spectral inversion (or any inversion in general) is to derive elastic properties from the seismic data. Figure 4 Schematic diagram of the spectral inversion algorithm EAGE 85
4 special topic first break volume 31, October 2013 Figure 5 Time slice through the near-angle stack seismic data before and after dip-steered filtering. Figure 6 Cross-plots of acoustic impedance vs gamma ray (left) and acoustic impedance vs shear impedance (right). Note yellow is sand, green is shale. The acoustic impedance and shear impedance elastic properties show a good separation of sand from shale as shown in Figure 6. It can also be observed that the sand reservoir here has high relative AI and SI. In this study we only invert for AI and SI and hence the corresponding well logs will be used in the spectral inversion process to derive an appropriate scale for each frequency band. To accurately invert for AI and SI from near and far-angle stack seismic data, we first calculate the P-wave reflectivity (Rp) and S-wave reflectivity (Rs) using the Fatti second term equation. Inversion to AI and SI from Rp and Rs is then straightforward. Figure 7 shows an example line of near and far angle stacks and also the resulting Rp and Rs. Spectral inversion produces a relative impedance estimate or band-limited inversion as an output. This can then be converted to absolute impedance volumes by adding a suitable low-frequency background model. In this work we only focus on relative impedance and in fact we found it easier to interpret when analysing relative impedance compared to the absolute values. Neep (2007) also states that relative acoustic impedance (AI) data is beneficial in correlating with well logs and geological layering. Relative AI and SI are shown in EAGE
5 first break volume 31, October 2013 special topic Figure 8 in which we can observe a good lateral extension of the sand reservoir away from the wells. The sand reservoir is highlighted in red corresponding to high impedance sand, located between top Res and base Res well markers. Inversion QC analysis of spectral inversion was done by extracting a single trace from the results of relative AI and relative SI on each wells and then compared with relative AI and SI well logs as illustrated in Figure 9. Relative AI and SI logs were obtained by band pass filtering the original logs to the bandwidth of seismic. It can be observed that spectral inversion gives a good correlation with relative AI and SI logs, which can predict a high impedance sand response (note that the mismatch of the first well in the Balder layer is because of large spikes in the logs which cause a big excursion after band pass filtering and cannot be matched by inversion. This can be improved Figure 7 P wave and S wave reflectivity results from near and far angle stack data. Figure 8 Relative AI and SI from spectral inversion EAGE 87
6 special topic first break volume 31, October 2013 Figure 9 QC analysis of relative AI (top) and SI (bottom) from spectral inversion. Figures 10 Relative impedance extraction with full bandwidth from relative acoustic impedance and relative shear impedance EAGE
7 first break volume 31, October 2013 special topic by some log editing procedures in the future). In order to understand the lateral distribution of the sand reservoir in the Brenda Field, relative impedance maps from full bandwidth spectral inversion are shown in Figure 10, where we can see that the channel is nicely imaged. This channel feature has an orientation from SE-NW. High impedance sand reservoirs here are displayed as bright anomalies (in red) on both relative AI and relative SI maps. An interesting benefit from spectral inversion is the delivery of the inversion result for each frequency band as it uses spectral decomposition to obtain a local frequency spectrum. Figure 11 shows a comparison in three-dimensional views between full-band relative AI and SI spectral inversions and relative AI and SI spectral inversion from individual frequency bands combined in the RGB blending style display. Each frequency band component responds uniquely to variation in reservoir thickness within the main channel fea- ture. Features that tune at higher frequencies are interpreted to correspond to the thinner flank of the channel highlighted in red, whereas the thickest part of the channel appears in blue. Relative impedance spectral inversion for different frequency bands is able to image the small channel feature (highlighted with a red dash line) inside the main channel. The small channel feature was resolved better at the middle frequency band at 25 Hz. This small channel is not visible on full-band relative AI and relative SI spectral inversion. Being able to identify this small channel feature within the larger main channel system gives valuable information to determine the optimum position for the well development plan. Spectral based coloured inversion Coloured inversion (CI) has been considered as a straightforward and cost effective technique to invert seismic data into impedance values. It was introduced by Lancaster and Figures 11 Comparisons between full bandwidth relative AI and SI with RGB maps obtained from the inversion of each frequency band EAGE 89
8 special topic first break volume 31, October 2013 Whitcombe (2000) to invert seismic data to relative impedance by deriving a convolutional operator that shapes the average seismic spectrum to a representation of that observed in the impedance well log (acoustic or elastic). This operation usually involves boosting the low frequency part of the spectrum as the earth spectrum is richer in the low frequency range. Therefore it Figure 12 Traditional (left) versus new approach (right) for coloured inversion workflow. is recommended (and is part of any quantitative interpretation workflow) to apply some sort of denoising, usually frequency slice filtering or dip-steered filtering, before the application of coloured inversion (see Zabihi Naeini and Morris, 2012). Coloured inversion is traditionally applied on the whole frequency bandwidth dataset to generate acoustic or elastic properties. The idea of our proposed workflow is simple: we first decompose the seismic data to different frequency subsets, then each subset is denoised according to its frequency and finally we perform CI on each subset. Careful constraints on each frequency band allow us to control the presence of the undesired energy on each band and consequently enhance the output quality. Another benefit is that the denoising operator is adjusted based on the frequency content i.e. lower frequencies are usually over-sampled and hence a bigger spatial operator can be used (Zabihi Naeini and Morris, 2012). The results of CI on each band are finally merged together in order to compare with the output of the application on the full initial bandwidth. Figure 12 shows a schematic diagram of the proposed workflow in comparison with the traditional approach. A similar approach was also adopted by Helmore (2009) for denoising data more effectively. Spectral based coloured inversion on Brenda Field In this paper, we only colour invert the near angle stack volume to derive the acoustic impedance. Extension to any other elastic properties is straightforward but not shown in Figure 13 Different frequency bands of nearangle stack seismic along with their coloured inversion operator EAGE
9 first break volume 31, October 2013 special topic this paper for the sake of simplicity. Seismic data is separated into low, medium and high frequency subsets by using the discrete wavelet transform (DWT) decomposition. We then denoise each subset according to its central frequency as mentioned in the previous section and derive the resultant CI operator. This is shown in Figure 13. Figure 14 demonstrates relative AI volumes derived from the traditional CI and our proposed workflow. It can be observed that the new workflow has enhanced the continuity of the events (for example, see the event at seconds). It also exhibits a better correlation with the well log as overlaid on the seismic section. Furthermore, it has a higher resolution and therefore results in more identifiable geological boundaries. The impact on the resolution is also clear when looking at the frequency spectrum as shown in Figure 15 where it can be seen that the proposed workflow results in a broader bandwidth. Figure 16 shows a map view of the two workflows where there is a substantial improvement on the boundaries of the sand channel from the result of the proposed workflow. These sandstone distribution patterns correlate with what we observed from the spectral inversion approach and also with the local geology and well logs. Conclusions We showed the benefits of using spectral information in the context of spectral inversion and coloured inversion. Both proposed methodologies clearly delineated the channel feature and matched with the well log observations. For spectral inversion, we proposed to extract different frequency bands of the impedance volumes and blend the results in an RGB manner. The outcome can then be related to the thickness in the reservoir and help to extract other detailed geological features which cannot be seen on full-bandwidth style inversion. Also a new spectral decomposition-based workflow was proposed for coloured inversion. This enabled us to effectively reduce the impact of noise and better stabilise the shaping operator which then resulted in a better impedance volume with higher resolution and sharper boundaries. Figure 14 Relative AI from traditional and the proposed workflows for coloured inversion. Figures 15 Amplitude spectrum of relative AI from traditional and the proposed workflows for coloured inversion. Figures 16 Map view of relative AI from traditional and the proposed workflows for coloured inversion EAGE 91
10 special topic first break volume 31, October 2013 Acknowledgments We would like to thank Ikon Science for permission to publish this paper. We also thank David Gawith and Mike Bacon for useful discussion during the course of this work. References Castagna, J., Sun, S. and Siegfried, R.W. [2003] Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons. The Leading Edge, 22, Chakraborty, A. and Okaya, D. [1995] Frequency-time decomposition of seismic data using wavelet based methods. Geophysics, 60, Fatti, J.L., Smith, G.C., Vail, P.J., Strauss, P.J. and Levitt, P.R. [1994] Detection of gas in sandstone reservoirs using AVO analysis: A 3-D seismic case history using the Geostack technique. Geophysics, 59, Helmore, S. [2009] Dealing with the noise Improving seismic whitening and inversion workflows using frequency split structurally oriented filters. 79 th SEG Annual International Meeting, Expanded Abstracts, Lancaster, S. and Whitcombe, D. [2000] Fast-track coloured inversion. 70 th SEG Annual International Meeting, Expanded Abstracts, Marfurt, K. J. and Kirlin, R. [2001] Narrow-band spectral analysis and thin-bed tuning. Geophysics, 66, Miao, X. and Cheadle, S. [1998] Noise attenuation with Wavelet transforms. 68 th SEG Annual International Meeting, Expanded Abstracts, Moser, J., Strijbos, F. and Castagna, J. [2004] Spectral variance in comparison with conventional spectral decomposition attributes. 74 th SEG Annual International Meeting, Expanded Abstracts, Neep, J.P. [2007] Time variant coloured inversion and spectral blueing. 69 th EAGE Conference and Exhibition, Extended Abstracts. Partyka, G.A., Gridley, J. and Lopez, J. [1999] Interpretational aspects of spectral decomposition in reservoir characterization. The Leading Edge, 18, Portniaguine, O. and J.P. Castagna [2004] Inverse spectral decomposition. 74 th SEG Annual International Meeting, Expanded Abstracts, Richard, P.C., Lott, G.K., Johnson, H., Knox, R.W.O B. and Riding, J.B. [1993] Lithostratigraphic nomenclature of the UK North Sea. Published by the British Geological Survey on behalf of the UK Offshore Operators Association. Wang, Y. [2007] Seismic time-frequency spectral decomposition by matching pursuit. Geophysics, 72(1), V13 V20. Zabihi Naeini, E. and Morris, H. [2012] Novel noise reduction for time-lapse and AVO workflow. First Break, 30(9), Second EAGE Workshop on Naturally Fractured Reservoirs Naturally Fractured Reservoirs in Real Life 8-11 December 2013 Muscat, Oman This workshop will cover five key topics through technical and keynote presentations and a dedicated poster session. The topics under discussion are: Surface Outcrop Analogues Geomechanics Characterisation Modeling Integration Field Trip to Salakh Arc Sunday 8 December 2013 This one day trip organised in association with the Geological Society of Oman will discuss fracture sets in terms of their characterisation and relationship to each other and to stratigraphic units. The locations will provide the opportunity to look at fractures both across the stratigraphy and on bedding planes, allowing discussion on how fractures may be seen in the limited well sections and how modeling is challenged to provide a realistic model from limited data. Limited places available so register early. Register now! EAGE
Edinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains
Frequency-dependent AVO attribute: theory and example Xiaoyang Wu, 1* Mark Chapman 1,2 and Xiang-Yang Li 1 1 Edinburgh Anisotropy Project, British Geological Survey, Murchison House, West Mains Road, Edinburgh
More informationThin-Bed Reflectivity An Aid to Seismic Interpretation
Thin-Bed Reflectivity An Aid to Seismic Interpretation Satinder Chopra* Arcis Corporation, Calgary, AB schopra@arcis.com John Castagna University of Houston, Houston, TX, United States and Yong Xu Arcis
More informationSeismic Attributes and Their Applications in Seismic Geomorphology
Academic article Seismic Attributes and Their Applications in Seismic Geomorphology Sanhasuk Koson, Piyaphong Chenrai* and Montri Choowong Department of Geology, Faculty of Science, Chulalongkorn University,
More informationDownloaded 09/16/16 to Redistribution subject to SEG license or copyright; see Terms of Use at
Ehsan Zabihi Naeini*, Ikon Science & Russell Exley, Summit Exploration & Production Ltd Summary Quantitative interpretation (QI) is an important part of successful Central North Sea exploration, appraisal
More information23855 Rock Physics Constraints on Seismic Inversion
23855 Rock Physics Constraints on Seismic Inversion M. Sams* (Ikon Science Ltd) & D. Saussus (Ikon Science) SUMMARY Seismic data are bandlimited, offset limited and noisy. Consequently interpretation of
More informationMultiple horizons mapping: A better approach for maximizing the value of seismic data
Multiple horizons mapping: A better approach for maximizing the value of seismic data Das Ujjal Kumar *, SG(S) ONGC Ltd., New Delhi, Deputed in Ministry of Petroleum and Natural Gas, Govt. of India Email:
More informationAn overview of AVO and inversion
P-486 An overview of AVO and inversion Brian Russell, Hampson-Russell, CGGVeritas Company Summary The Amplitude Variations with Offset (AVO) technique has grown to include a multitude of sub-techniques,
More informationA Petroleum Geologist's Guide to Seismic Reflection
A Petroleum Geologist's Guide to Seismic Reflection William Ashcroft WILEY-BLACKWELL A John Wiley & Sons, Ltd., Publication Contents Preface Acknowledgements xi xiii Part I Basic topics and 2D interpretation
More informationUnconventional reservoir characterization using conventional tools
Ritesh K. Sharma* and Satinder Chopra Arcis Seismic Solutions, TGS, Calgary, Canada Summary Shale resources characterization has gained attention in the last decade or so, after the Mississippian Barnett
More informationDownloaded 09/09/15 to Redistribution subject to SEG license or copyright; see Terms of Use at
Reservoir properties estimation from marine broadband seismic without a-priori well information: A powerful de-risking workflow Cyrille Reiser*, Matt Whaley and Tim Bird, PGS Reservoir Limited Summary
More informationHow broadband can unlock the remaining hydrocarbon potential of the North Sea
How broadband can unlock the remaining hydrocarbon potential of the North Sea Gregor Duval 1 provides some graphic evidence of how broadband seismic data can unmask the hidden potential of the UK Continental
More informationInstantaneous Spectral Analysis Applied to Reservoir Imaging and Producibility Characterization
Instantaneous Spectral Analysis Applied to Reservoir Imaging and Producibility Characterization Feng Shen 1* and Gary C. Robinson 1, Tao jiang 2 1 EP Tech, Centennial, CO, 80112, 2 PetroChina Oil Company,
More informationDownloaded 10/02/18 to Redistribution subject to SEG license or copyright; see Terms of Use at
Multi-scenario, multi-realization seismic inversion for probabilistic seismic reservoir characterization Kester Waters* and Michael Kemper, Ikon Science Ltd. Summary We propose a two tiered inversion strategy
More informationComparison of spectral decomposition methods
Comparison of spectral decomposition methods John P. Castagna, University of Houston, and Shengjie Sun, Fusion Geophysical discuss a number of different methods for spectral decomposition before suggesting
More informationReservoir connectivity uncertainty from stochastic seismic inversion Rémi Moyen* and Philippe M. Doyen (CGGVeritas)
Rémi Moyen* and Philippe M. Doyen (CGGVeritas) Summary Static reservoir connectivity analysis is sometimes based on 3D facies or geobody models defined by combining well data and inverted seismic impedances.
More informationTime-frequency analysis of seismic data using synchrosqueezing wavelet transform a
Time-frequency analysis of seismic data using synchrosqueezing wavelet transform a a Published in Journal of Seismic Exploration, 23, no. 4, 303-312, (2014) Yangkang Chen, Tingting Liu, Xiaohong Chen,
More informationDeep-Water Reservoir Potential in Frontier Basins Offshore Namibia Using Broadband 3D Seismic
Deep-Water Reservoir Potential in Frontier Basins Offshore Namibia Using Broadband 3D Seismic E. Polyaeva* (Petroleum Geo-Services), I. Thomas (Chariot Oil and Gas), C. Reiser (Petroleum Geo-Services),
More informationChurning seismic attributes with principal component analysis
Satinder Chopra + * and Kurt J. Marfurt + Arcis Seismic Solutions, Calgary; The University of Oklahoma, Norman Summary Seismic attributes are an invaluable aid in the interpretation of seismic data. Different
More informationDHI Analysis Using Seismic Frequency Attribute On Field-AN Niger Delta, Nigeria
IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) e-issn: 2321 0990, p-issn: 2321 0982.Volume 1, Issue 1 (May. Jun. 2013), PP 05-10 DHI Analysis Using Seismic Frequency Attribute On Field-AN Niger
More informationInterpretation and Reservoir Properties Estimation Using Dual-Sensor Streamer Seismic Without the Use of Well
Interpretation and Reservoir Properties Estimation Using Dual-Sensor Streamer Seismic Without the Use of Well C. Reiser (Petroleum Geo-Services), T. Bird* (Petroleum Geo-Services) & M. Whaley (Petroleum
More informationA.K. Khanna*, A.K. Verma, R.Dasgupta, & B.R.Bharali, Oil India Limited, Duliajan.
P-92 Application of Spectral Decomposition for identification of Channel Sand Body in OIL s operational area in Upper Assam Shelf Basin, India - A Case study A.K. Khanna*, A.K. Verma, R.Dasgupta, & B.R.Bharali,
More informationRock Physics and Quantitative Wavelet Estimation. for Seismic Interpretation: Tertiary North Sea. R.W.Simm 1, S.Xu 2 and R.E.
Rock Physics and Quantitative Wavelet Estimation for Seismic Interpretation: Tertiary North Sea R.W.Simm 1, S.Xu 2 and R.E.White 2 1. Enterprise Oil plc, Grand Buildings, Trafalgar Square, London WC2N
More informationRC 2.7. Main Menu. SEG/Houston 2005 Annual Meeting 1355
Thierry Coléou, Fabien Allo and Raphaël Bornard, CGG; Jeff Hamman and Don Caldwell, Marathon Oil Summary We present a seismic inversion method driven by a petroelastic model, providing fine-scale geological
More informationNew Frontier Advanced Multiclient Data Offshore Uruguay. Advanced data interpretation to empower your decision making in the upcoming bid round
New Frontier Advanced Multiclient Data Offshore Uruguay Advanced data interpretation to empower your decision making in the upcoming bid round Multiclient data interpretation provides key deliverables
More informationPrincipal Components Analysis of Spectral Components. (Principal Components Analysis) Hao Guo, Kurt J. Marfurt* and Jianlei Liu
Principal Components Analysis of Spectral Components (Principal Components Analysis) Hao Guo, Kurt J. Marfurt* and Jianlei Liu Hao Guo Allied Geophysical Laboratories, University of Houston hguo2@uh.edu
More informationBuilding more robust low-frequency models for seismic impedance inversion
first break volume 34, May 2016 technical article Building more robust low-frequency models for seismic impedance inversion Amit Kumar Ray 1 and Satinder Chopra 1* Abstract Seismic impedance inversion
More informationRelative Peak Frequency Increment Method for Quantitative Thin-Layer Thickness Estimation
Journal of Earth Science, Vol. 4, No. 6, p. 168 178, December 13 ISSN 1674-487X Printed in China DOI: 1.17/s1583-13-387-1 Relative Peak Frequency Increment Method for Quantitative Thin-Layer Thickness
More informationA021 Petrophysical Seismic Inversion for Porosity and 4D Calibration on the Troll Field
A021 Petrophysical Seismic Inversion for Porosity and 4D Calibration on the Troll Field T. Coleou* (CGG), A.J. van Wijngaarden (Hydro), A. Norenes Haaland (Hydro), P. Moliere (Hydro), R. Ona (Hydro) &
More informationSeismic Inversion on 3D Data of Bassein Field, India
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 526-532 Seismic Inversion on 3D Data of Bassein Field, India K.Sridhar, A.A.K.Sundaram, V.B.G.Tilak & Shyam Mohan Institute
More informationThe effect of anticlines on seismic fracture characterization and inversion based on a 3D numerical study
The effect of anticlines on seismic fracture characterization and inversion based on a 3D numerical study Yungui Xu 1,2, Gabril Chao 3 Xiang-Yang Li 24 1 Geoscience School, University of Edinburgh, UK
More informationFractured Volcanic Reservoir Characterization: A Case Study in the Deep Songliao Basin*
Fractured Volcanic Reservoir Characterization: A Case Study in the Deep Songliao Basin* Desheng Sun 1, Ling Yun 1, Gao Jun 1, Xiaoyu Xi 1, and Jixiang Lin 1 Search and Discovery Article #10584 (2014) Posted
More informationApplication of Multi-Attributes and Spectral Decomposition with RGB blending for understanding the strati-structural features: A Case study
10 th Biennial International Conference & Exposition P 262 Application of Multi-Attributes and Spectral Decomposition with RGB blending for understanding the strati-structural features: A Case study Summary
More informationA New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset*
A New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset* Changcheng Liu 1 and Prasad Ghosh 2 Search and Discovery Article #41764 (2016) Posted January 25, 2016 *Adapted
More informationReservoir Characterization using AVO and Seismic Inversion Techniques
P-205 Reservoir Characterization using AVO and Summary *Abhinav Kumar Dubey, IIT Kharagpur Reservoir characterization is one of the most important components of seismic data interpretation. Conventional
More informationImproved stratigraphic interpretation using broadband processing Sergipe Basin, Brazil
Improved stratigraphic interpretation using broadband processing Sergipe Basin, Brazil Mike Saunders 1, Laurie Geiger 1, Dan Negri 1, Jaime A. Stein 2, T. Altay Sansal 2 and John Springman 2 demonstrate
More informationImproved image aids interpretation: A case history
Ye Zheng, Scott Cheadle (Veritas GeoServices, Calgary, Canada) Glenn M. Rising (Perez Companc Norcen Corod, Venezuela) SUMMARY The Oritupano-Leona 3D of Eastern Venezuela was originally acquired and processed
More informationThe SPE Foundation through member donations and a contribution from Offshore Europe
Primary funding is provided by The SPE Foundation through member donations and a contribution from Offshore Europe The Society is grateful to those companies that allow their professionals to serve as
More informationTHE USE OF SEISMIC ATTRIBUTES AND SPECTRAL DECOMPOSITION TO SUPPORT THE DRILLING PLAN OF THE URACOA-BOMBAL FIELDS
THE USE OF SEISMIC ATTRIBUTES AND SPECTRAL DECOMPOSITION TO SUPPORT THE DRILLING PLAN OF THE URACOA-BOMBAL FIELDS Cuesta, Julián* 1, Pérez, Richard 1 ; Hernández, Freddy 1 ; Carrasquel, Williams 1 ; Cabrera,
More informationSeismic applications in coalbed methane exploration and development
Seismic applications in coalbed methane exploration and development Sarah E. Richardson*, Dr. Don C. Lawton and Dr. Gary F. Margrave Department of Geology and Geophysics and CREWES, University of Calgary
More informationtechnical article Satinder Chopra 1*, Kurt J. Marfurt 2 and Ha T. Mai 2
first break volume 27, October 2009 technical article Using automatically generated 3D rose diagrams for correlation of seismic fracture lineaments with similar lineaments from attributes and well log
More informationTowards Interactive QI Workflows Laurie Weston Bellman*
Laurie Weston Bellman* Summary Quantitative interpretation (QI) is an analysis approach that is widely applied (Aki and Richards, 1980, Verm and Hilterman, 1995, Avseth et al., 2005, Weston Bellman and
More informationImproving Resolution with Spectral Balancing- A Case study
P-299 Improving Resolution with Spectral Balancing- A Case study M Fatima, Lavendra Kumar, RK Bhattacharjee, PH Rao, DP Sinha Western Offshore Basin, ONGC, Panvel, Mumbai Summary: The resolution limit
More informationSimultaneous Inversion of Clastic Zubair Reservoir: Case Study from Sabiriyah Field, North Kuwait
Simultaneous Inversion of Clastic Zubair Reservoir: Case Study from Sabiriyah Field, North Kuwait Osman Khaled, Yousef Al-Zuabi, Hameed Shereef Summary The zone under study is Zubair formation of Cretaceous
More informationContinuous Wavelet Transform Based Spectral Decomposition of 3d Seismic Data for Reservoir Characterization in Oyi Field, se Niger Delta
American Journal of Applied Sciences Original Research Paper Continuous Wavelet Transform Based Spectral Decomposition of 3d Seismic Data for Reservoir Characterization in Oyi Field, se Niger Delta Chukwuemeka
More informationBertrand Six, Olivier Colnard, Jean-Philippe Coulon and Yasmine Aziez CGGVeritas Frédéric Cailly, Total
4-D Seismic Inversion: A Case Study Offshore Congo Bertrand Six, Olivier Colnard, Jean-Philippe Coulon and Yasmine Aziez CGGVeritas Frédéric Cailly, Total Summary The first 4D seismic survey in Congo was
More informationThe reason why acoustic and shear impedances inverted
SPECIAL The Rocky SECTION: Mountain The Rocky region Mountain region Comparison of shear impedances inverted from stacked PS and SS data: Example from Rulison Field, Colorado ELDAR GULIYEV, Occidental
More information2011 SEG SEG San Antonio 2011 Annual Meeting 771. Summary. Method
Geological Parameters Effecting Controlled-Source Electromagnetic Feasibility: A North Sea Sand Reservoir Example Michelle Ellis and Robert Keirstead, RSI Summary Seismic and electromagnetic data measure
More informationFigure 1. P wave speed, Vp, S wave speed, Vs, and density, ρ, for the different layers of Ostrander s gas sand model shown in SI units.
Ambiguity in Resolving the Elastic Parameters of Gas Sands from Wide-Angle AVO Andrew J. Calvert - Simon Fraser University and David F. Aldridge - Sandia National Laboratories Summary We investigate the
More informationSeismic attributes for fault/fracture characterization
Satinder Chopra* and Kurt J. Marfurt + *Arcis Corporation, Calgary; + University of Houston, Houston Summary Seismic attributes have proliferated in the last three decades at a rapid rate and have helped
More informationAn empirical method for estimation of anisotropic parameters in clastic rocks
An empirical method for estimation of anisotropic parameters in clastic rocks YONGYI LI, Paradigm Geophysical, Calgary, Alberta, Canada Clastic sediments, particularly shale, exhibit transverse isotropic
More informationIdentification of sweet spots in shale reservoir formations
Identification of sweet spots in shale reservoir formations Ritesh Kumar Sharma 1 and Satinder Chopra 1 Abstract The main goal for shale resource characterization is usually the identification of sweet
More informationPorosity. Downloaded 09/22/16 to Redistribution subject to SEG license or copyright; see Terms of Use at
Geostatistical Reservoir Characterization of Deepwater Channel, Offshore Malaysia Trisakti Kurniawan* and Jahan Zeb, Petronas Carigali Sdn Bhd, Jimmy Ting and Lee Chung Shen, CGG Summary A quantitative
More informationShaly Sand Rock Physics Analysis and Seismic Inversion Implication
Shaly Sand Rock Physics Analysis and Seismic Inversion Implication Adi Widyantoro (IkonScience), Matthew Saul (IkonScience/UWA) Rock physics analysis of reservoir elastic properties often assumes homogeneity
More informationIntegrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study
Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study Naimeh Riazi*, Larry Lines*, and Brian Russell** Department of Geoscience, University of Calgary **Hampson-Russell
More informationA031 Porosity and Shale Volume Estimation for the Ardmore Field Using Extended Elastic Impedance
A31 Porosity and Shale Volume Estimation for the Ardmore Field Using Extended Elastic Impedance A.M. Francis* (Earthworks Environment & Resources Ltd) & G.J. Hicks (Earthworks Environment & Resources Ltd)
More informationObservations of Azimuthal Anisotropy in Prestack Seismic Data
Observations of Azimuthal Anisotropy in Prestack Seismic Data David Gray* CGGVeritas, Calgary, AB, Canada dave.gray@cggveritas.com Summary A method for displaying prestack seismic data that highlights
More information3D geological model for a gas-saturated reservoir based on simultaneous deterministic partial stack inversion.
first break volume 28, June 2010 special topic A New Spring for Geoscience 3D geological model for a gas-saturated reservoir based on simultaneous deterministic partial stack inversion. I. Yakovlev, Y.
More informationDownloaded 09/29/16 to Redistribution subject to SEG license or copyright; see Terms of Use at
Richard Wright*, James Carter, Ian Atkinson, Erin Gillis, Deric Cameron, and Leona Stead, Nalcor Energy Tom Neugebauer, TGS Jerry Witney, PGS Daniel Hughes and Michael Hall, Airbus Defence and Space Summary
More informationRP04 Improved Seismic Inversion and Facies Using Regional Rock Physics Trends: Case Study from Central North Sea
RP04 Improved Seismic Inversion and Facies Using Regional Rock Physics Trends: Case Study from Central North Sea A.V. Somoza* (Ikon Science Ltd), K. Waters (Ikon Science Ltd) & M. Kemper (Ikon Science
More informationArnab Nag*, Divya Prakash Singh, Anshika Agarwal, Shiv Kumar Malasi, Anand S. Kale BPRL, Mumbai
Application of Seismic Facies Classification, Spectral Decomposition and Seismic Attributes to characterize deep-water depositional facies in Oligocene sequence of KG Basin, India Arnab Nag*, Divya Prakash
More informationImproved Interpretability via Dual-sensor Towed Streamer 3D Seismic - A Case Study from East China Sea
Improved Interpretability via Dual-sensor Towed Streamer 3D Seismic - A Case Study from East China Sea S. Rongfu (CNOOC Shanghai), C. Hua (CNOOC Shanghai), W. Yun (CNOOC Shanghai), Z. Yabin (CNOOC Shanghai),
More informationFUNDAMENTALS OF SEISMIC EXPLORATION FOR HYDROCARBON
FUNDAMENTALS OF SEISMIC EXPLORATION FOR HYDROCARBON Instructor : Kumar Ramachandran 10 14 July 2017 Jakarta The course is aimed at teaching the physical concepts involved in the application of seismic
More informationDownloaded 09/16/16 to Redistribution subject to SEG license or copyright; see Terms of Use at
Data Using a Facies Based Bayesian Seismic Inversion, Forties Field, UKCS Kester Waters* (Ikon Science Ltd), Ana Somoza (Ikon Science Ltd), Grant Byerley (Apache Corp), Phil Rose (Apache UK) Summary The
More informationHigh Resolution Field-based Studies of Hydrodynamics Examples from the North Sea
High Resolution Field-based Studies of Hydrodynamics Examples from the North Sea Stephen O Connor 1, Richard Swarbrick 2 and Sam Green 1 1 Ikon GeoPressure, Durham, UK 2 Swarbrick Geopressure Consultancy,
More informationDelineating Karst features using Advanced Interpretation
P-152 Asheesh Singh, Sibam Chakraborty*, Shafique Ahmad Summary We use Amplitude, Instantaneous Phase, Trace Envelope and Dip of Maximum Similarity Attributes as a tool to delineate Karst induced features
More informationWe apply a rock physics analysis to well log data from the North-East Gulf of Mexico
Rock Physics for Fluid and Porosity Mapping in NE GoM JACK DVORKIN, Stanford University and Rock Solid Images TIM FASNACHT, Anadarko Petroleum Corporation RICHARD UDEN, MAGGIE SMITH, NAUM DERZHI, AND JOEL
More informationUpdating the low-frequency model in time-lapse seismic inversion: A case study from a heavy-oil steam-injection project
Updating the low-frequency model in time-lapse seismic inversion: A case study from a heavy-oil steam-injection project Peter R. Mesdag 1, M. Reza Saberi 1, and Cheran Mangat 2 Abstract A workflow to update
More informationWe LHR3 06 Detecting Production Effects and By-passed Pay from 3D Seismic Data Using a Facies Based Bayesian Seismic Inversion
We LHR3 06 Detecting Production Effects and By-passed Pay from 3D Seismic Data Using a Facies Based Bayesian Seismic Inversion K.D. Waters* (Ikon Science Ltd), A.V. Somoza (Ikon Science Ltd), G. Byerley
More informationDelineating thin sand connectivity in a complex fluvial system in Mangala field, India, using high resolution seismic data
Delineating thin sand connectivity in a complex fluvial system in Mangala field, India, using high resolution seismic data Sreedurga Somasundaram 1*, Amlan Das 1 and Sanjay Kumar 1 present the results
More informationWe Improved Salt Body Delineation Using a new Structure Extraction Workflow
We-08-08 Improved Salt Body Delineation Using a new Structure Extraction Workflow A. Laake* (WesternGeco) SUMMARY Current salt imaging workflows require thorough geological understanding in the selection
More informationAmplitude variation with offset AVO. and. Direct Hydrocarbon Indicators DHI. Reflection at vertical incidence. Reflection at oblique incidence
Amplitude variation with offset AVO and Direct Hydrocarbon Indicators DHI Reflection at vertical incidence Reflection coefficient R(p) c α 1 S wavespeed β 1 density ρ 1 α 2 S wavespeed β 2 density ρ 2
More informationDownloaded 11/02/16 to Redistribution subject to SEG license or copyright; see Terms of Use at Summary.
in thin sand reservoirs William Marin* and Paola Vera de Newton, Rock Solid Images, and Mario Di Luca, Pacific Exploración y Producción. Summary Rock Physics Templates (RPTs) are useful tools for well
More informationKeywords. PMR, Reservoir Characterization, EEI, LR
Enhancing the Reservoir Characterization Experience through Post Migration Reprocessed (PMR) Data A case study Indrajit Das*, Ashish Kumar Singh, Shakuntala Mangal, Reliance Industries Limited, Mumbai
More informationMaximize the potential of seismic data in shale exploration and production Examples from the Barnett shale and the Eagle Ford shale
Maximize the potential of seismic data in shale exploration and production Examples from the Barnett shale and the Eagle Ford shale Joanne Wang, Paradigm Duane Dopkin, Paradigm Summary To improve the success
More informationModelling of linearized Zoeppritz approximations
Modelling of linearized Zoeppritz approximations Arnim B. Haase Zoeppritz approximations ABSTRACT The Aki and Richards approximations to Zoeppritz s equations as well as approximations by Stewart, Smith
More informationThe Alba Field: Improved Reservoir Characterisation using 4D Seismic Data. Elaine Campbell Oliver Hermann Steve Dobbs Andrew Warnock John Hampson
The Alba Field: Improved Reservoir Characterisation using 4D Seismic Data Elaine Campbell Oliver Hermann Steve Dobbs Andrew Warnock John Hampson Chevron 2005 Alba Field Location Equity: Chevron 23% (operator)
More informationElastic impedance for reservoir fluid discrimination, prospect definition and risk assessment: a North Sea case history
first break volume 25, February 2007 technical article Elastic impedance for reservoir fluid discrimination, prospect definition and risk assessment: a North Sea case history James Storey, 1 John Luchford,
More informationRock physics and AVO analysis for lithofacies and pore fluid prediction in a North Sea oil field
Rock physics and AVO analysis for lithofacies and pore fluid prediction in a North Sea oil field Downloaded 09/12/14 to 84.215.159.82. Redistribution subject to SEG license or copyright; see Terms of Use
More informationEnhancement of seismic data quality and interpretation for mapping base Zubair sands of Southeast Kuwait
Enhancement of seismic data quality and interpretation for mapping base Zubair sands of Southeast Kuwait Rajive Kumar *, Karam, M. Hafez, Anandan Mudavakkat, Aisha Y. Al-Ghareeb, Thekriat Hussain, Ritesh
More informationPost-stack inversion of the Hussar low frequency seismic data
Inversion of the Hussar low frequency seismic data Post-stack inversion of the Hussar low frequency seismic data Patricia E. Gavotti, Don C. Lawton, Gary F. Margrave and J. Helen Isaac ABSTRACT The Hussar
More informationRelinquishment Report
Relinquishment Report Licence P1403 Block 13/22d Chevron North Sea Limited Korean National Oil Company Chevron North Sea Limited December 2009 1 SYNOPSIS... 3 2 INTRODUCTION. 3 2.1 Licence Terms.. 3 2.2
More informationTh N Seismic Imaging in Gas Obscured Areas - Q Anomaly Detection and Q Migration Applied to Broadband Data
Th N107 11 Seismic Imaging in Gas Obscured Areas - Q Anomaly Detection and Q Migration Applied to Broadband Data A. Castiello* (ION GXT), Y. Ren (ION GXT), S. Greenwood (ION GXT), T. Martin (ION GXT),
More informationThe role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field
P-305 The role of seismic modeling in Reservoir characterization: A case study from Crestal part of South Mumbai High field Summary V B Singh*, Mahendra Pratap, ONGC The objective of the modeling was to
More informationReducing Uncertainty through Multi-Measurement Integration: from Regional to Reservoir scale
Reducing Uncertainty through Multi-Measurement Integration: from Regional to Reservoir scale Efthimios Tartaras Data Processing & Modeling Manager, Integrated Electromagnetics CoE, Schlumberger Geosolutions
More informationUse of spectral decomposition to detect dispersion anomalies associated with gas saturation. M. Chapman, J. Zhang, E. Odebeatu, E. Liu and X.Y. Li.
Use of spectral decomposition to detect dispersion anomalies associated with gas saturation. M. Chapman, J. Zhang, E. Odebeatu, E. Liu and X.Y. Li. Summary Significant evidence suggests that hydrocarbon
More informationAdding Value with Broadband Seismic and Inversion in the Central North Sea Seagull Area
H2-2-1 Adding Value with Broadband Seismic and Inversion in the Central North Sea Seagull Area Marnix Vermaas, Andy Lind Apache North Sea, Aberdeen, UK Introduction The merits of modern broadband seismic
More informationSeismic characterization of Montney shale formation using Passey s approach
Seismic characterization of Montney shale formation using Passey s approach Ritesh Kumar Sharma*, Satinder Chopra and Amit Kumar Ray Arcis Seismic Solutions, Calgary Summary Seismic characterization of
More informationKurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS
The Society of Exploration Geophysicists and GeoNeurale announce Kurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS 3D Seismic Attributes for Prospect Identification and Reservoir Characterization
More informationKurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS
The Society of Exploration Geophysicists and GeoNeurale announce Kurt Marfurt Arnaud Huck THE ADVANCED SEISMIC ATTRIBUTES ANALYSIS 3D Seismic Attributes for Prospect Identification and Reservoir Characterization
More informationFifteenth International Congress of the Brazilian Geophysical Society. Copyright 2017, SBGf - Sociedade Brasileira de Geofísica
Geostatistical Reservoir Characterization in Barracuda Field, Campos Basin: A case study Frank Pereira (CGG)*, Ted Holden (CGG), Mohammed Ibrahim (CGG) and Eduardo Porto (CGG). Copyright 2017, SBGf - Sociedade
More informationIntegrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc.
Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc. Summary Rock physics establishes the link between reservoir properties,
More informationElements of 3D Seismology Second Edition
Elements of 3D Seismology Second Edition Copyright c 1993-2003 All rights reserved Christopher L. Liner Department of Geosciences University of Tulsa August 14, 2003 For David and Samantha And to the memory
More informationApplications of finite-difference modelling to coalscale seismic exploration
Applications of finite-difference modelling to coalscale seismic exploration Shaun Strong 1,2, Troy Peters 1 1. Velseis Pty Ltd 2 University of Queensland Introduction Geological environments with significant
More informationThin Sweet Spots Identification in the Duvernay Formation of North Central Alberta*
Thin Sweet Spots Identification in the Duvernay Formation of North Central Alberta* Ritesh K. Sharma 1 and Satinder Chopra 1 Search and Discovery Article #10902 (2017)** Posted January 16, 2017 *Adapted
More informationINTEGRATED GEOPHYSICAL INTERPRETATION METHODS FOR HYDROCARBON EXPLORATION
INTEGRATED GEOPHYSICAL INTERPRETATION METHODS FOR HYDROCARBON EXPLORATION Instructor : Kumar Ramachandran 31 July 4 August 2017 Jakarta COURSE OUTLINE The course is aimed at imparting working knowledge
More informationSEISMIC INVERSION OVERVIEW
DHI CONSORTIUM SEISMIC INVERSION OVERVIEW Rocky Roden September 2011 NOTE: Terminology for inversion varies, depending on the different contractors and service providers, emphasis on certain approaches,
More informationINT 4.5. SEG/Houston 2005 Annual Meeting 821
Kathleen Baker* and Mike Batzle, Colorado School of Mines, Richard Gibson, Texas A&M University Summary There have been many studies of how Direct Hydrocarbon Indicators (DHIs) can help or hurt us when
More informationDelineating a sandstone reservoir at Pikes Peak, Saskatchewan using 3C seismic data and well logs
Delineating a sandston reservoir at Pikes Peak Delineating a sandstone reservoir at Pikes Peak, Saskatchewan using 3C seismic data and well logs Natalia L. Soubotcheva and Robert R. Stewart ABSTRACT To
More informationEarth models for early exploration stages
ANNUAL MEETING MASTER OF PETROLEUM ENGINEERING Earth models for early exploration stages Ângela Pereira PhD student angela.pereira@tecnico.ulisboa.pt 3/May/2016 Instituto Superior Técnico 1 Outline Motivation
More informationNoise suppression and multiple attenuation using full-azimuth angle domain imaging: case studies
first break volume 33, June 2015 special topic Noise suppression and multiple attenuation using full-azimuth angle domain imaging: case studies Aleksander Inozemtsev 1*, Zvi Koren 1 and Alexander Galkin
More information