Sadewa Field is in Kutei Basin in the Makassar Strait between
|
|
- Jean Lamb
- 6 years ago
- Views:
Transcription
1 SPECIAL Asia SECTION: Pacific A s i a P acific Distinguishing gas sand from shale/brine sand using elastic impedance data and the determination of the lateral extent of channel reservoirs using amplitude data for a channelized deepwater gas field in Indonesia PAUL THOMPSON, JIM JASON HARTMAN, and MUHAMMAD ANUN ANUNG ANANDITO, Chevron Indonesia DHANANJAY KUMAR and JIM MAGILL, Chevron Energy Technology Company KIYOSHI NOGUCHI, INPEX Corporation BRAHMANTYO KRINAHADI GUNAWAN, BPMIGAS Sadewa Field is in Kutei Basin in the Makassar Strait between the Indonesian islands of Kalimantan and Sulawesi about 5 km from the shelf edge in water depths of ft (Figure 1). The discovery well was drilled in 2002, and a total of nine wellbores have been drilled. Two basic development scenarios have been assessed for the field: (1) shelf edge platform with extended reach drilling (ERD), and (2) subsea development. Both are very expensive options. The challenge is to make reliable probabilistic reserve estimates for the economic evaluation. Critical to the reserve estimates is quantitative geophysical reservoir characterization, or what is known in Chevron as reservoir properties from seismic. For Sadewa, elastic impedance inversion data can be used to distinguish gas sand from shale/brine sand and acoustic impedance inversion data can be used to derive porosity data but only for reservoirs close to or above tuning thickness. For reservoirs much less than the tuning thickness, for instance near the edges of the Sadewa reservoir bodies, seismic amplitude data are more reliable than inverted data for geophysical reservoir characterization. Reserves sensitiv- Figure 1. Sadewa location, bathymetry, and seismic data. (a) Shaded relief map. (b) Bathymetry map with curvature overlay with well locations and seismic shooting direction annotated. (c) Arbitrary seismic line showing shelf edge, Pleistocene channeling, Pliocene sequence, and Upper Miocene reservoir sequence. 312 The Leading Edge March 2009
2 Figure 2. Sadewa geology. (a) Schematic cross section showing stratigraphy of Kutei Basin with Paleocene to Eocene extension (rifting), Oligocene subsidence (sag), and Miocene Holocene deltaic progradation (after Saller et al.). (b) Generalized deepwater geological model showing Sadewa upper slope channels (modified from Saller, personal communicaton). (c) Type log with gamma ray and resistivity; gas sands are red and oil sands are green. ity analysis has shown that reservoir body area is the single most important parameter, and, thus, a special focus has been in the determination of the lateral extent of reservoirs using seismic amplitude data. The Sadewa reservoirs are Upper Miocene age and interpreted to have been deposited in a deepwater upper slope environment (Figure 2a). The geological model (Figure 2b) is very analogous to the present day bathymetry (Figure 1b), suggesting that the shelf edge has remained in roughly the same position for at least the last 7 8 million years. A type log for Sadewa with gamma-ray and resistivity logs (Figure 2c) reveals that many sands show some fining upwards, typical of deepwater deposition, and are gas-filled. A 3D seismic reflection data set was shot across the area in 2004 in an essentially bathymetric strike direction (Figure 1b). Cable length was 6000 m with bin size of m and 60 fold. Processing paid particular attention to waterbottom multiple suppression (a severe problem in the Kutei deepwater) while maintaining amplitude integrity, and used a modified prestack time migration (PSTM). Reservoir properties from seismic The success of any reservoir properties from a seismic (RPFS) Figure 3. Angle stack maximum peak+trough amplitude maps from amplitude conditioned, compensated, and AVO-calibrated, zero-phase amplitude data set, for example, Sadewa reservoir. The gas reservoirs are shown with colors other than gray. project is dependent on high-quality data, favorable rock properties (that can be studied from wireline logs), and reliable inversion (also dependent on good wireline logs and data). The type of inversion required depends on the rock properties relationships. To achieve the necessary high-quality data for the Sadewa March 2009 The Leading Edge 313
3 Figure 4. Rock property analysis. (a) Density and P-velocity histograms and probability density functions for brine-filled and gas-filled sands compared to shale (shale is represented by green). (b) Acoustic impedance (gas sand and brine sand) and elastic impedance (gas sand) histograms and probability density functions for high-porosity, medium-porosity, and low-porosity sands, shale, and nonreservoir sand. (c and d) Monte Carlo seismic amplitude modeling. (c) Amplitude versus gradient P10-P90 limits for gas sand, oil sand, brine sand (all over shale with sand thickness of 100 ft) and shale/shale for near-, mid-, far-, and very far-angle stacks. (d) Amplitude versus gradient P10 P90 limits for gas sand of low, medium, and high porosity (sand thickness is 100 ft) and for average porosity sand with variable sand thickness (0 220 ft). On (d) the P20 shale over shale far-angle stack amplitude cutoff is annotated in white. Figure 5. Rock physics relationships for gas sand and shale. (a) P-impedance versus S-impedance and (b) P-impedance versus far-angle elastic impedance. Both shear and elastic impedances along with P-impedance are able to distinguish gas sand from shale, especially for high-porosity sands. 314 The Leading Edge March 2009
4 Figure 6. Rock physics analysis for lithology estimation and porosity estimation of sand. (a) The far-angle elastic impedance at 38 0 (EI38) can be used to differentiate gas sand from shale/brine sand. (b) A range of EI38 cutoffs can be used to estimate the probability of finding gas sand. (c) Once gas sand is estimated, a porosity volume can be derived from acoustic impedance using a regression relationship. Note the regression relationships for porosity estimation of gas sand and brine sand from acoustic impedance are different. RPFS study, amplitude conditioning (beyond what is done in basic processing), compensation, and AVO calibration are required. The conditioning consists of a number of processing steps including the application of a wavelet transform filter, f-k dip filtering, differential moveout, destretch, dynamic structural correction, and residual amplitude correction. The amplitude compensation is required because of shallow transmission effects, and a spatial amplitude correction is applied based on amplitude normalization of the geologically spatially uniform Pliocene sequence (Figure 1c). AVO calibration is achieved by applying well data average rms amplitude calibration multipliers from synthetics for each angle range near, mid, far, and very far. An example set of angle stack reservoir amplitude maps extracted from the seismic data after conditioning, compensation, and AVO calibration ( calibrated data set) is shown in Figure 3. The far-angle stack (effective angle of 38 0 ) is considered the optimum angle stack from the point of view of overall signal-to-noise and reservoir amplitude/coherency. Amplitude increasing with angle with relatively low amplitude on the near-angle stack indicates AVO Class 3. Rock-property analysis of all available well data shows that gas sand can confidently be distinguished from shale, largely as a result of density contrast. However, brine sand and shale are largely indistinguishable (Figure 4). The gas sands in Figure 4b were subdivided into porosity bands: high (>19%), medium (15 19%), low (10 15%), and nonreservoir (<10%). All penetrated Sadewa reservoir sands fall in the high-medium porosity bands, with the majority in the former. The Monte Carlo seismic amplitude modeling indicates an AVO Class 3 response, and that far angles give the best discrimination of gas sand. Additionally, Monte Carlo mod- March 2009 The Leading Edge 315
5 Figure 7. P10 and P20 shale over shale models (Shale:Shale) with a far-angle stack amplitude cutoff. (a) Far-angle stack amplitude tuning plot for gas, oil, and brine sands (high-porosity sand; sand-over-shale model) with P0 P50 shale over shale amplitudes annotated. (b) Geological model of upper slope channel and corresponding amplitude profile with amplitude/thickness cutoffs annotated. (c) Actual calibrated far-angle seismic amplitudes as penetrated by the Sadewa wells with amplitude associated with hydrocarbons plotted as green diamonds and amplitude not associated with hydrocarbons plotted as magenta squares and shale over shale P0 P50 amplitudes annotated. eling shows that high-porosity gas sands with a thickness near the tuning thickness also lead to better discrimination of gas sand from shale (Figures 4c and 4d). Based on the analysis of acoustic impedance versus shear/ elastic impedance data (Figure 5), and because estimated shear impedance data were less reliable than elastic impedance data, it was determined that both elastic impedance (Whitcombe, 2002) and acoustic impedance data sets could be reliably used to distinguish the gas sands. Further, rock physics relationships and modeled amplitudes indicate that the elastic impedance far-angle data at 38 0 (EI38) gives the best statistics for distinguishing the gas sands by the application of an EI38 cutoff (Figure 6a). A range of EI38 cutoff values can be used to estimate the probability of finding gas sand (Figure 6b), which is also desired for numerical simulations of various reservoir scenarios. For example, if EI38 of ft/s.g/cc is selected as a cutoff value (as shown by the vertical line in Figure 6b), then for EI38 values less than this cutoff value there is at least 82% probability of finding gas sand from shale and 83% probability of finding gas sand from brine sand. After the gas sands have been identified in this way, a porosity volume can be estimated using the regression between porosity and acoustic impedance (Figure 6c). The above inversion strategy works well when the reservoir sands are near or above tuning thickness (typically 120 ft in this case). However, at the edges of the channel reservoir bodies, thicknesses will be below tuning thickness, and, therefore, a special approach is required to reliably determine the lateral reservoir extent. For reservoir sand thickness below tuning thickness, inverted impedance data are considered less reliable because of tuning effects (Galbiati et al., 2008), and the original calibrated angle stack amplitude data are considered more reliable. The approach adopted for determining the lateral extent of the Sadewa channel reservoirs is based upon the analysis of model amplitudes for the far-angle amplitude data set for (1) gas sand over shale and (2) shale over shale. Figure 7a shows the tuning curves for the far-angle (high-porosity sand) together with the P0 P50 shale over shale amplitudes (the P50 occurs at zero amplitude because the average shale over average shale causes no reflection). Figure 7b shows the channel sand of the geological model and how seismic amplitude will vary across the channel and the implications of choosing particular amplitude cutoffs. In this case, a P10 shale over shale far-angle stack amplitude cutoff is selected as a conservative scenario, but the implication is that reservoirs with thickness less than 30 ft will be deemed beyond the edge of the reservoir. A more optimistic scenario with P20 shale over shale 316 The Leading Edge March 2009
6 where inversion data are unreliable, has been addressed using quantitative seismic amplitudes. The complete RPFS strategy for Sadewa also includes the estimation of the downdip limit of gas sands (gas/brine sand). This RPFS workflow is considered the basis for reliable reserves estimation and thus will have a direct impact on field economics. Suggested reading. Elastic impedance normalization by Whitcombe (Geophysics, 2002). Seismic evaluation of reservoir quality and gas reserves of DHI supported deep-water systems, offshore Nile delta by Galbiati et al. (EAGE Extended Abstracts, 2008). Leaves in turbidite sands: The main source of oil and gas in the deep-water Kutei Basin, Indonesia by Saller et al. (AAPG Bulletin, 2006). Figure 8. Application of P10 and P20 shale over shale amplitude cutoffs on example far-angle stack seismic amplitude map. Acknowledgments: The authors thank the other members of the Sadewa subsurface team Yuniyanto, Lothar Schulte, Andrian Elim, and Suwarno. Also thanks to Craig Huber who managed the seismic processing, Steven Leslie who did the conditioning, and Larry Sydora who was instrumental in initiating the RPFS work. The approval to publish from Chevron, INPEX, BPMIGAS, and MIGAS management is also acknowledged. Corresponding author: pault@chevron.com far-angle stack amplitude cutoff would lead to reservoirs of thickness less than 20 ft being excluded. Figure 7c shows the same shale over shale amplitude cutoffs plotted with actual seismic amplitudes penetrated by the wells (color-coded as amplitudes with and without hydrocarbons). The real seismic amplitudes can also be used to determine shale over shale (or nonhydrocarbon) statistics and cutoffs and a similar answer results. Using the real seismic data (seismic amplitudes at sand tops at the wells) for determining the cutoffs is considered less reliable statistically than using the well data (seismic models with a range of layering and a range of rock properties) because the former data set is sparser. The impact of applying a P10 or P20 shale over shale far-angle stack amplitude cutoff on the real seismic amplitude maps is shown in Figure 8. The more conservative P10 cutoff (red outline) gives a more restricted reservoir lateral extent (and more disconnected bodies), whereas the more optimistic P20 cutoff (blue outline) connects more bodies in a perhaps more geologically meaningful manner. Clearly, the choice of cutoff has a direct impact on reservoir body area and thus on reserves estimation. Conclusions An effective and practical approach for distinguishing gas sand from shale/brine sand using elastic impedance data has been shown for the channelized deepwater Sadewa Field. Furthermore, the issue of determining the lateral extent of these reservoirs where sand thickness is below tuning, and March 2009 The Leading Edge 317
QUANTITATIVE INTERPRETATION
QUANTITATIVE INTERPRETATION THE AIM OF QUANTITATIVE INTERPRETATION (QI) IS, THROUGH THE USE OF AMPLITUDE ANALYSIS, TO PREDICT LITHOLOGY AND FLUID CONTENT AWAY FROM THE WELL BORE This process should make
More informationLithology prediction and fluid discrimination in Block A6 offshore Myanmar
10 th Biennial International Conference & Exposition P 141 Lithology prediction and fluid discrimination in Block A6 offshore Myanmar Hanumantha Rao. Y *, Loic Michel, Hampson-Russell, Kyaw Myint, Ko Ko,
More informationQuantitative Interpretation
Quantitative Interpretation The aim of quantitative interpretation (QI) is, through the use of amplitude analysis, to predict lithology and fluid content away from the well bore. This process should make
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 informationArthur Saller 1. Search and Discovery Article #51393 (2017)** Posted June 26, Abstract
PS Mixed Carbonates and Siliciclastics North of the Mahakam Delta, Offshore East Kalimantan, Indonesia* Arthur Saller 1 Search and Discovery Article #51393 (2017)** Posted June 26, 2017 *Adapted from poster
More informationComparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-004, India PP 498-50 Comparative Study of AVO attributes for Reservoir Facies Discrimination and Porosity Prediction Y. Hanumantha Rao & A.K.
More informationKeywords. CSEM, Inversion, Resistivity, Kutei Basin, Makassar Strait
Noor Jehan Ashaari Muhamad* (EMGS Asia Pacific), Ritesh Mohan Joshi (EMGS Asia Pacific), Muhamad Afifie Chan Mahadie Chan (EMGS Asia Pacific) mmuhamad@emgs.com Keywords CSEM, Inversion, Resistivity, Kutei
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 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 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 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 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 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 informationDownloaded 11/20/12 to Redistribution subject to SEG license or copyright; see Terms of Use at
AVO crossplot analysis in unconsolidated sediments containing gas hydrate and free gas: Green Canyon 955, Gulf of Mexico Zijian Zhang* 1, Daniel R. McConnell 1, De-hua Han 2 1 Fugro GeoConsulting, Inc.,
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 informationQuantifying Bypassed Pay Through 4-D Post-Stack Inversion*
Quantifying Bypassed Pay Through 4-D Post-Stack Inversion* Robert Woock 1, Sean Boerner 2 and James Gamble 1 Search and Discovery Article #40799 (2011) Posted August 12, 2011 *Adapted from oral presentation
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 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 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 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 informationApplication of advance tools for reservoir characterization- EEI & Poisson s impedance: A Case Study
P-272 Application of advance tools for reservoir characterization- EEI & Poisson s impedance: A Case Study Summary Puja Prakash*, S.K.Singh, Binode Chetia, P.K.Chaudhuri, Shyam Mohan, S.K.Das, ONGC Pore
More informationSalt Geology and New Plays in Deep-Water Gulf of Mexico* By Abu Chowdhury 1 and Laura Borton 1
Salt Geology and New Plays in Deep-Water Gulf of Mexico* By Abu Chowdhury 1 and Laura Borton 1 Search and Discovery Article #10131 (2007) Posted August 25, 2007 *Adapted from extended abstract prepared
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 informationPROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirty-Eighth Annual Convention & Exhibition, May 2014
IPA14-G-227 PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirty-Eighth Annual Convention & Exhibition, May 2014 A COMPARISON OF DEPTH CONVERSION METHODS IN BUNTAL GAS FIELD, BLOCK B, NATUNA SEA, INDONESIA
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 informationFred Mayer 1; Graham Cain 1; Carmen Dumitrescu 2; (1) Devon Canada; (2) Terra-IQ Ltd. Summary
2401377 Statistically Improved Resistivity and Density Estimation From Multicomponent Seismic Data: Case Study from the Lower Cretaceous McMurray Formation, Athabasca Oil Sands Fred Mayer 1; Graham Cain
More informationSummary. Seismic Field Example
Water-saturation estimation from seismic and rock-property trends Zhengyun Zhou*, Fred J. Hilterman, Haitao Ren, Center for Applied Geosciences and Energy, University of Houston, Mritunjay Kumar, Dept.
More informationFuture of Tunu Field Development: A Breakthrough of Gas Sand Identification Using Automated Seismic Assessment*
Future of Tunu Field Development: A Breakthrough of Gas Sand Identification Using Automated Seismic Assessment* Firman B. Kurniawan 1, Rangga A. Brahmantio 1, Argo Wuryanto 1, Yudhistira Adji 1, Eros S.
More informationThe Stratigraphic Trap in the Benchamas Field Pattani Basin, Gulf of Thailand
The Stratigraphic Trap in the Benchamas Field Pattani Basin, Gulf of Thailand Jurairat Buangam Petroleum Geoscience Program, Department of Geology, Faculty of Science, Chulalongkorn University, Bangkok
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 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 informationNet-to-gross from Seismic P and S Impedances: Estimation and Uncertainty Analysis using Bayesian Statistics
Net-to-gross from Seismic P and S Impedances: Estimation and Uncertainty Analysis using Bayesian Statistics Summary Madhumita Sengupta*, Ran Bachrach, Niranjan Banik, esterngeco. Net-to-gross (N/G ) is
More informationThe Marrying of Petrophysics with Geophysics Results in a Powerful Tool for Independents Roger A. Young, eseis, Inc.
The Marrying of Petrophysics with Geophysics Results in a Powerful Tool for Independents Roger A. Young, eseis, Inc. While the application of new geophysical and petrophysical technology separately can
More informationMaturity Modeling of Gomin and South Gomin fields Southern Pattani Basin, Gulf of Thailand
Maturity Modeling of Gomin and South Gomin fields Southern Pattani Basin, Gulf of Thailand Patinya Jaithan Petroleum Geoscience Program, Department of Geology, Faculty of Science, Chulalongkorn University,
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 informationEstimation of density from seismic data without long offsets a novel approach.
Estimation of density from seismic data without long offsets a novel approach. Ritesh Kumar Sharma* and Satinder Chopra Arcis seismic solutions, TGS, Calgary Summary Estimation of density plays an important
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 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 informationBulletin of Earth Sciences of Thailand
Quantitative Seismic Geomorphology of Early Miocene to Pleistocene Fluvial System of Northern Songkhla Basin, Gulf of Thailand Oanh Thi Tran Petroleum Geoscience Program, Department of Geology, Faculty
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 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 informationDerived Rock Attributes Analysis for Enhanced Reservoir Fluid and Lithology Discrimination
IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) e-issn: 2321 0990, p-issn: 2321 0982.Volume 5, Issue 2 Ver. I (Mar. - Apr. 2017), PP 95-105 www.iosrjournals.org Derived Rock Attributes Analysis
More information4D stress sensitivity of dry rock frame moduli: constraints from geomechanical integration
Title 4D stress sensitivity of dry rock frame moduli: constraints from geomechanical integration Authors Bloomer, D., Ikon Science Asia Pacific Reynolds, S., Ikon Science Asia Pacific Pavlova, M., Origin
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 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 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 informationGeophysical model response in a shale gas
Geophysical model response in a shale gas Dhananjay Kumar and G. Michael Hoversten Chevron USA Inc. Abstract Shale gas is an important asset now. The production from unconventional reservoir like shale
More informationFeasibility and design study of a multicomponent seismic survey: Upper Assam Basin
P-276 Summary Feasibility and design study of a multicomponent seismic survey: Upper Assam Basin K.L.Mandal*, R.K.Srivastava, S.Saha, Oil India Limited M.K.Sukla, Indian Institute of Technology, Kharagpur
More informationOTC OTC PP. Abstract
OTC OTC-19977-PP Using Modern Geophysical Technology to Explore for Bypassed Opportunities in the Gulf of Mexico R.A. Young/eSeis; W.G. Holt, G. Klefstad/ Fairways Offshore Exploration Copyright 2009,
More informationSouthern Songkhla Basin, Gulf of Thailand
Architecture and Depositional Environment of Fluvial Systems of Southern Songkhla Basin, Gulf of Thailand Toan Manh Do Petroleum Geoscience Program, Department of Geology, Faculty of Science, Chulalongkorn
More informationEGAS. Ministry of Petroleum
EGAS Ministry of Petroleum EGAS Ministry of Petroleum About The Block Location: N. El Arish offshore block is located in the extreme eastern part of the Egypt s economic water border and bounded from the
More informationDownloaded 01/29/13 to Redistribution subject to SEG license or copyright; see Terms of Use at
An integrated study of a Mississippian tripolitic chert reservoir Osage County, Oklahoma, USA Benjamin L. Dowdell*, Atish Roy, and Kurt J. Marfurt, The University of Oklahoma Summary With the advent of
More informationSUMMARY INTRODUCTION METHODOLOGY
Kamal Hami-Eddine*, Pascal Klein, Loic Richard, Paradigm, Andrew Furniss, AWE Limited SUMMARY Automatic seismic facies classification is now common practice in the oil and gas industry. Unfortunately unsupervised
More informationBLACK PLATINUM ENERGY LTD
Black Platinum Energy Ltd ( BPE or the Company ) Announces a Material Increase in the Discovered Dara East Gas Field Resources and Upside Potential Resources in Nearby Features Dara East Assessed Gas Resource
More informationOil and Natural Gas Corporation Ltd., VRC(Panvel), WOB, ONGC, Mumbai. 1
P-259 Summary Data for identification of Porosity Behaviour in Oligocene Lime Stone of D18 Area Of Western Offshore, India V.K. Baid*, P.H. Rao, P.S. Basak, Ravi Kant, V. Vairavan 1, K.M. Sundaram 1, ONGC
More informationAFI (AVO Fluid Inversion)
AFI (AVO Fluid Inversion) Uncertainty in AVO: How can we measure it? Dan Hampson, Brian Russell Hampson-Russell Software, Calgary Last Updated: April 2005 Authors: Dan Hampson, Brian Russell 1 Overview
More informationStatistical Rock Physics
Statistical - Introduction Book review 3.1-3.3 Min Sun March. 13, 2009 Outline. What is Statistical. Why we need Statistical. How Statistical works Statistical Rock physics Information theory Statistics
More informationEGAS. Ministry of Petroleum
EGAS Ministry of Petroleum EGAS Ministry of Petroleum About The Block Location: N. Thekah offshore block is located at about 56 km to the north of the Mediterranean shore line, 85 km to the north west
More informationPre-Stack Seismic Inversion and Amplitude Versus Angle Modeling Reduces the Risk in Hydrocarbon Prospect Evaluation
Advances in Petroleum Exploration and Development Vol. 7, No. 2, 2014, pp. 30-39 DOI:10.3968/5170 ISSN 1925-542X [Print] ISSN 1925-5438 [Online] www.cscanada.net www.cscanada.org Pre-Stack Seismic Inversion
More informationSAND DISTRIBUTION AND RESERVOIR CHARACTERISTICS NORTH JAMJUREE FIELD, PATTANI BASIN, GULF OF THAILAND
SAND DISTRIBUTION AND RESERVOIR CHARACTERISTICS NORTH JAMJUREE FIELD, PATTANI BASIN, GULF OF THAILAND Benjawan KIinkaew Petroleum Geoscience Program, Department of Geology, Faculty of Science, Chulalongkorn
More informationSedimentary Cycle Best Practice: Potential Eo-Oligocene Sediments in Western Indonesia*
Sedimentary Cycle Best Practice: Potential Eo-Oligocene Sediments in Western Indonesia* Mellinda Arisandy 1 and I Wayan Darma 1 Search and Discovery Article #11008 (2017)** Posted November 6, 2017 *Adapted
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 informationHague and London Oil Plc
Hague and London Oil Plc Exploiting Shallow Gas Offshore Netherlands De-Gassing Shallow Hazards or De-Risking Shallow Gas November 2016 The Shallow Gas Play can be Summarized as Schematic evolution of
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 informationLuderitz Basin, Offshore Namibia: Farm-out Opportunity. APPEX, London, March 2015 Graham Pritchard, Serica Energy plc
Luderitz Basin, Offshore Namibia: Farm-out Opportunity APPEX, London, March 2015 Graham Pritchard, Serica Energy plc Serica Luderitz Basin Namibia Introduction Serica (85%, operator) 17,384 km 2 acreage
More information3D Seismic Reservoir Characterization and Delineation in Carbonate Reservoir*
3D Seismic Reservoir Characterization and Delineation in Carbonate Reservoir* M. N. Alamsyah 1, Bambang W. Handono 1, and Andri Syafriya 1 Search and Discovery Article #41760 (2016) Posted January 25,
More informationDistribution of Overpressure and its Prediction in Saurashtra Dahanu Block, Western Offshore Basin, India*
Distribution of Overpressure and its Prediction in Saurashtra Dahanu Block, Western Offshore Basin, India* Kanak R. Nambiar 1, B.K. Singh 2, R.N. Goswami 2, and K.R.K. Singh 2 Search and Discovery Article
More informationThe GIG consortium Geophysical Inversion to Geology Per Røe, Ragnar Hauge, Petter Abrahamsen FORCE, Stavanger
www.nr.no The GIG consortium Geophysical Inversion to Geology Per Røe, Ragnar Hauge, Petter Abrahamsen FORCE, Stavanger 17. November 2016 Consortium goals Better estimation of reservoir parameters from
More informationSeisLink Velocity. Key Technologies. Time-to-Depth Conversion
Velocity Calibrated Seismic Imaging and Interpretation Accurate Solution for Prospect Depth, Size & Geometry Accurate Time-to-Depth Conversion was founded to provide geologically feasible solutions for
More informationSeismic reservoir and source-rock analysis using inverse rock-physics modeling: A Norwegian Sea demonstration
66 Seismic reservoir and source-rock analysis using inverse rock-physics modeling: A Norwegian Sea demonstration Kenneth Bredesen 1, Erling Hugo Jensen 1, 2, Tor Arne Johansen 1, 2, and Per Avseth 3, 4
More informationSynthetic Seismic Modeling of Turbidite Outcrops
7 Synthetic Seismic Modeling of Turbidite Outcrops Mark Chapin and Gottfried Tiller Shell International Exploration and Production, Inc., Houston, Texas, USA Executive Summary Seismic forward models of
More informationHampsonRussell. A comprehensive suite of reservoir characterization tools. cgg.com/geosoftware
HampsonRussell A comprehensive suite of reservoir characterization tools cgg.com/geosoftware HampsonRussell Software World-class geophysical interpretation HampsonRussell Software is a comprehensive suite
More informationBulletin of Earth Sciences of Thailand
AN INTEGRATED VELOCITY MODELING WORKFLOW TO PREDICT RELIABLE DEPTHS IN TRAT FIELD, GULF OF THAILAND Sarayoot Geena Petroleum Geoscience Program, Department of Geology, Faculty of Science, Chulalongkorn
More informationUsing high-density OBC seismic data to optimize the Andrew satellites development
Using high-density OBC seismic data to optimize the Andrew satellites development Leendert Padmos, 1* Daniel Davies, 1 Merv Davies 1 and John McGarrity 1 Abstract The processed data from conventional towed-streamer
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 informationStochastic vs Deterministic Pre-stack Inversion Methods. Brian Russell
Stochastic vs Deterministic Pre-stack Inversion Methods Brian Russell Introduction Seismic reservoir analysis techniques utilize the fact that seismic amplitudes contain information about the geological
More informationMain Challenges and Uncertainties for Oil Production from Turbidite Reservoirs in Deep Water Campos Basin, Brazil*
Main Challenges and Uncertainties for Oil Production from Turbidite Reservoirs in Deep Water Campos Basin, Brazil* Carlos H. Bruhn 1, Antonio Pinto 1, and Paulo R. Johann 1 Search and Discovery Article
More informationHydrocarbon Potential of the Marginal Fields in Niger Delta Oza Field, a case study*
Hydrocarbon Potential of the Marginal Fields in Niger Delta Oza Field, a case study* J.N. Sahu 1, C.H.V. Satya Sai 1, V. Chintamani 1 and C. Vishnu Vardhan 1 Search and Discovery Article #20182 (2012)*
More informationUse of Traveltime Tomographic velocity model beyond imaging: Estimating 3D pore pressure & effective stress volumes
10 th Biennial International Conference & Exposition P 324 Summary Use of Traveltime Tomographic velocity model beyond imaging: Estimating 3D pore pressure & effective stress volumes Kanharol K Hari*,
More informationDynamic GeoScience Martyn Millwood Hargrave Chief Executive OPTIMISE SUCCESS THROUGH SCIENCE
Dynamic GeoScience Martyn Millwood Hargrave Chief Executive OPTIMISE SUCCESS THROUGH SCIENCE Agenda 1. Ikon Science Where we are now 2. Geoscience 2012 A motion picture 3. Rock physics, AVO and Inversion
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 informationQuantitative interpretation using inverse rock-physics modeling on AVO data
Quantitative interpretation using inverse rock-physics modeling on AVO data Erling Hugo Jensen 1, Tor Arne Johansen 2, 3, 4, Per Avseth 5, 6, and Kenneth Bredesen 2, 7 Downloaded 08/16/16 to 129.177.32.62.
More informationCombined Seismic Multiple Attribute Analysis: An effective tool for lightly explored basins
P-345 Combined Seismic Multiple Attribute Analysis: An effective tool for lightly explored basins Shubhabrata Samantaray* and Pankaj Gupta. Reliance Industries Ltd, Petroleum Business (E&P) Summary Search
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 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 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 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 informationThe Late Tertiary Deep-Water Siliciclastic System of the Levant Margin - An Emerging Play Offshore Israel*
The Late Tertiary Deep-Water Siliciclastic System of the Levant Margin - An Emerging Play Offshore Israel* Michael A. Gardosh 1, Yehezkel Druckman 2 and Binyamin Buchbinder 2 Search and Discovery Article
More informationGeological Classification of Seismic-Inversion Data in the Doba Basin of Chad*
Geological Classification of Seismic-Inversion Data in the Doba Basin of Chad* Carl Reine 1, Chris Szelewski 2, and Chaminda Sandanayake 3 Search and Discovery Article #41899 (2016)** Posted September
More informationPluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO*
Pluto 1.5 2D ELASTIC MODEL FOR WAVEFIELD INVESTIGATIONS OF SUBSALT OBJECTIVES, DEEP WATER GULF OF MEXICO* *This paper has been submitted to the EAGE for presentation at the June 2001 EAGE meeting. SUMMARY
More informationReliability of Seismic Data for Hydrocarbon Reservoir Characterization
Reliability of Seismic Data for Hydrocarbon Reservoir Characterization Geetartha Dutta (gdutta@stanford.edu) December 10, 2015 Abstract Seismic data helps in better characterization of hydrocarbon reservoirs.
More informationSeismic Velocities for Pore-Pressure Prediction. Some Case Histories.
P - 87 Seismic Velocities for Pore-Pressure Prediction. Some Case Histories. Patrizia Cibin*, Luigi Pizzaferri, Mauro Della Martera Eni E&P Division (Milano, Italy) Summary Seismic velocities have long
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 informationIntegrated Reservoir Characterisation - a successful interdisciplinary working model
Integrated Reservoir Characterisation - a successful interdisciplinary working model Satinder Chopra*, Scott Singleton*, Craig Hall**, Randy Nickerson + and David Carlson +, *Core Laboratories Reservoir
More informationRelinquishment Report. for. Licences: P.1596 (Blocks 205/3, 205/4a) P.1836 (Block 205/2b) P.1837 (Block 205/5b)
Relinquishment Report for Licences: P.1596 (Blocks 205/3, 205/4a) P.1836 (Block 205/2b) P.1837 (Block 205/5b) November 2013 1 of 9 CONTENT 1. Header 2. Synopsis 3. Exploration Activities 4. Prospectivity
More informationIPA, Proceedings of an International Conference on Gas Habitats of SE Asia and Australasia, 1999
PA, 26 - Proceedings of an nternational Conference on Gas Habitats of SE Asia and Australasia, 1999 GH98 - OR - 44 NDONESAN PETROLEUM ASSOCATON Proceedings of the Gas Habitats of SE Asia and Australasia
More informationInterpretation of PP and PS seismic data from the Mackenzie Delta, N.W.T.
Interpretation of PP and PS seismic data from the Mackenzie Delta, N.W.T. Carlos E. Nieto* CREWES. The University of Calgary nieto@geo.ucalgary.ca and Robert R. Stewart CREWES. The University of Calgary
More informationPre Stack Imaging To Delineate A New Hydrocarbon Play A Case History
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 375-379 Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History D. Srinivas, T.R. Murali Mohan, Ashwani Lamba,
More informationURTeC: Summary
URTeC: 2665754 Using Seismic Inversion to Predict Geomechanical Well Behavior: a Case Study From the Permian Basin Simon S. Payne*, Ikon Science; Jeremy Meyer*, Ikon Science Copyright 2017, Unconventional
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 information