A031 Porosity and Shale Volume Estimation for the Ardmore Field Using Extended Elastic Impedance
|
|
- Allison Carr
- 5 years ago
- Views:
Transcription
1 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) SUMMARY Deterministic seismic inversion and extended elastic impedance (EEI) have been used to obtain quantitative estimates of porosity and Vshale over the Ardmore Field. The optimum EEI angles corresponding to porosity and Vshale were determined from the well logs, together with a lithology indicator. The prestack seismic data were then projected to the Chi angles corresponding to these three petrophysical indicators and deterministic inversions were performed to obtain three broadband EEI volumes. Three-parameter linear regressions were then performed to estimate quantitative porosity and Vshale volumes from the three EEI volumes. Regions of High porosity and low Vshale have been identified which may suggest possible future drilling locations. EAGE 68th Conference & Exhibition Vienna, Austria, June 26
2 Summary Deterministic seismic inversion and extended elastic impedance (EEI) have been used to obtain quantitative estimates of porosity and Vshale over the Ardmore Field. The optimum EEI angles corresponding to porosity and Vshale were determined from the well logs, together with a lithology indicator. The prestack seismic data were then projected to the χ angles corresponding to these three petrophysical indicators and deterministic inversions were performed to obtain three broadband EEI volumes. Three-parameter linear regressions were then performed to estimate quantitative porosity and Vshale volumes from the three EEI volumes. Regions of High porosity and low Vshale have been identified which may suggest possible future drilling locations. Ardmore Field Introduction The Ardmore Field is located on the south-western flank of the Central Graben in the North Sea. The main producing reservoir has been the Zechstein which has excellent characteristics due to the presence of both vuggy and fracture porosity. The Rotliegendes reservoir is composed of good quality massive Aeolian dune sandstones and is restricted to the central area of the field. Extended Elastic Impedance Analysis Extended elastic impedance (EEI) (Whitcombe et al., 22) provides a framework to work with pre-stack AVO but in terms of impedance instead of reflectivity. In the EEI analysis phase, EEI logs are generated for each well as a function of angle χ and correlated with the petrophysical logs. For each petrophysical log a plot is then made of the correlation coefficient as a function of angle. For Ardmore the resulting EEI angle correlation curves are shown in Figure 1. Curves are shown for gamma ray (GR), effective porosity (PHIE) and clay volume (VCL). The curves show the average response from 24 wells over the greater Ardmore area. The recorded seismic gathers for Ardmore have a χ angle range of to +14o, indicated by the shaded overlay in the figure below. PHIE is strongly negatively correlated at negative angles through acoustic impedance (zero angle) and peaks at a correlation of -.9 at an angle χ=+18o. The GR and VCL curves show no correlation with EEI logs representing the recorded seismic angle range but rapidly peak at a correlation of +.7 at an angle of +23o. Examples of the EEI logs are shown in Figure 2. In the left panel the PHIE log is compared to the EEI log at χ=+18o, showing the high correlation and predictive capability of the EEI log at this angle. The right panel shows the χ=+23o EEI log is a good predictor for the VCL log. 1.8 Correlation Coefficient.6 Vcl Maximum Angle Range of Seismic.4.2 GR PHIE VCL Porosity Maximum Angle (Chi) Figure 1: Correlation of petrophysical logs to EEI logs as a function of angle χ. EAGE 68th Conference & Exhibition Vienna, Austria, June 26
3 Depth (ft) Depth (ft) PHIE 91 EEI(+23) Shale Content (fraction) 86 EEI(+18) Porosity (fraction) VCL 23.5 Figure 2: Porosity (left) and Vshale (right) logs with their corresponding EEI logs. Well Ties, Zero Phasing and EEI Projection After completing the EEI analysis, EEI logs corresponding to the mean angles in the supplied seismic angle stacks are used to establish initial well ties. After tying each angle stack, a wavelet is estimated and zero phase deconvolution applied to each angle stack using spiking deconvolution. This helps remove small timing errors across the angle stacks and assists in normalising their spectral content. The deconvolved angle stacks are then used to project new seismic volumes corresponding to the χ angles identified from the EEI impedance analysis procedure described in the previous section. In addition to the EEI angles used to predict PHIE (χ=+18o) and VCL (χ=+23o) an additional EEI angle of χ=-65o was also selected. This was chosen after modelling EEI logs as a function of angle (Figure 3) and was intended to provide an EEI angle with maximum capability for discriminating lithology. This angle approximately corresponds to a shear wave log. Optimal Lithology Descrimination Optimal Phi/Vcl Prediction Time (ms) Current Seismic Chalk Zech Rot SST Chi (Degrees) +9 Figure 3: EEI logs as a function of χ. Deterministic Inversion In order to provide a quantitative output for predicting reservoir properties, the EEI data require inverting to absolute impedance. Deterministic inversion is most effective when the reservoir interval has a strong reflectivity and where the reservoir layering is relatively thick with well defined units close to the seismic resolution limit. The Ardmore Field seismic is thus ideally suited for deterministic inversion. The inversion scheme used here is referred to as model-based inversion (Russell and Hampson, 1991). In model-based inversion an initial impedance model is modified iteratively to improve the fit to the seismic trace. Assuming a reasonable initial model, model-based inversion is able to remove the wavelet and hence remove tuning effects.
4 The initial model comprises interpolated impedance data from the wells guided by a stratigraphic framework defined by the picked seismic horizons. In this case study, the stratigraphic framework comprises the Top chalk, BCU and Base Zechstein interpreted seismic horizon picks. A total of 3 wells have been included in the model. Three models have been constructed, one for each of the χ=-65o, χ=+18o and χ=+23o EEI volumes. Each EEI volume is inverted using its own wavelet. Quantitative Vshale and Porosity Prediction In order to make quantitative predictions of Vshale or porosity, the EEI log data have been plotted as a 3-dimensional crossplot coloured by porosity or Vshale (Figure 4). In these 3D cross-plots low porosity values plot along the left hand side of the projection and contour progressively to the good porosity values in the lower right-hand corner. Conversely, low Vshale values (clean formations) plot along the upper right edge and the data become progressively shalier to the lower left corner. Using the three EEI logs, two separate linear regressions have been defined, one for porosity and one for Vshale, and the coefficients used to combine and transform the three deterministic EEI seismic volumes to porosity and Vshale volumes. Cross-sections through these two volumes are shown below. Figure 5 is a cross-line through the Vshale volume. The high Vshale (blue/purple) below the BCU seismic horizon corresponds to shalier intervals, most likely Kimmeridge clay. The apparently shaly intervals in the chalk are probably erroneous: the average Vshale predictor is not appropriate for the chalk interval. Also in the Vshale section the clean, blocky Rotliegendes sands are clearly seen (greens) below the Base Zechstein seismic pick. In the porosity section (Figure 6) the Rotliegendes is again clearly seen, good porosity being shown in green. The Jurassic and Zechstein intervals show more intermediate porosity, along with the Devonian. Figure 7 shows an average porosity slice for the interval 1-2 ms below the BCU seismic pick, corresponding to Jurassic and Zechstein in different parts of the field. The Ardmore Field fault pattern is overlaid. The good quality reservoir is shown in red. Note in particular how the higher porosity Jurassic sands appear to be draped on the northwest flank of the field and in the hanging wall of the main field bounding fault to the southeast. The latter may indicate a possible drilling target. The low porosity (blue colours) in the centre of the field indicates the presence of Kimmeridge formation. Figure 4: 3-D EEI crossplots coloured by porosity (left) or Vshale (right). References Russell, B. and Hampson, D., 1991, A comparison of post-stack seismic inversion, 61st Ann. Internat. Mtg: Soc. of Expl. Geophys., Whitcombe, D. N., Connolly, P. A., Reagan, R. L. and Redshaw, T. C., 22, Extended elastic impedance for fluid and lithology prediction. Geophysics 67 pp EAGE 68th Conference & Exhibition Vienna, Austria, June 26
5 .5 Top Chalk BCU Base Zech. Figure 5: Inverted EEI seismic volumes combined and transformed to Vshale volume. Inserted logs are Vshale..25 Top Chalk BCU Base Zech Figure 6: Inverted EEI seismic volumes combined and transformed to porosity volume. Inserted logs are porosity. Figure 7: Horizon slice through Porosity volume 1-2 ms below BCU..
An 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 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 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 informationRC 1.3. SEG/Houston 2005 Annual Meeting 1307
from seismic AVO Xin-Gong Li,University of Houston and IntSeis Inc, De-Hua Han, and Jiajin Liu, University of Houston Donn McGuire, Anadarko Petroleum Corp Summary A new inversion method is tested to directly
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 informationRelinquishment Report for Licence Number P1435, Block 30/25a March 2009
Relinquishment Report for Licence Number P1435, Block 30/25a March 2009 Endeavour Energy UK Ltd Relinquishment Report for Licence Number P1435 Block 30/25a 1 Table of Contents 1.0 Header...3 2.0 Synopsis...3
More informationTechnical Note: Coloured, Deterministic & Stochastic Inversion
Technical Note: Coloured, Deterministic & Stochastic Inversion http://www.sorviodvnvm.co.uk 1 Earthworks Ltd - Company Overview Earthworks Environment & Resources Ltd. was formed in June 2001 to provide
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
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 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 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 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 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 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 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 informationProbabilistic seismic inversion using pseudo-wells
Seismic Rock Physics Seminar Probabilistic seismic inversion using pseudo-wells Patrick Connolly*, PCA Ltd Patrick Connolly Associates Ltd. geophysics for integration Outline ODiSI: probabilistic inversion
More informationIntegrating rock physics modeling, prestack inversion and Bayesian classification. Brian Russell
Integrating rock physics modeling, prestack inversion and Bayesian classification Brian Russell Introduction Today, most geoscientists have an array of tools available to perform seismic reservoir characterization.
More informationElastic impedance inversion from robust regression method
Elastic impedance inversion from robust regression method Charles Prisca Samba 1, Liu Jiangping 1 1 Institute of Geophysics and Geomatics,China University of Geosciences, Wuhan, 430074 Hubei, PR China
More informationThe elastic properties such as velocity, density, impedance,
SPECIAL SECTION: Rr ock Physics physics Lithology and fluid differentiation using rock physics template XIN-GANG CHI AND DE-HUA HAN, University of Houston The elastic properties such as velocity, density,
More information3D petrophysical modeling - 1-3D Petrophysical Modeling Usning Complex Seismic Attributes and Limited Well Log Data
- 1-3D Petrophysical Modeling Usning Complex Seismic Attributes and Limited Well Log Data Mehdi Eftekhari Far, and De-Hua Han, Rock Physics Lab, University of Houston Summary A method for 3D modeling and
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 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 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 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 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 informationGeneration of Pseudo-Log Volumes from 3D Seismic Multi-attributes using Neural Networks: A case Study
5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 541-549 Multi-attributes using Neural Networks: A case Study V.B.Singh, S.P.S.Negi, D.Subrahmanyam, S.Biswal & V.K.Baid G&G
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 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 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 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 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 informationPrediction of Shale Plugs between Wells in Heavy Oil Sands using Seismic Attributes
GRAY, F. DAVID *, PAUL F. ANDERSON, and JAY A. GUNDERSON *, * Veritas DGC, Calgary, AB, Canada, Apache Canada Ltd., Calgary, AB, Canada Prediction of Shale Plugs between Wells in Heavy Oil Sands using
More informationReservoir properties inversion from AVO attributes
Reservoir properties inversion from AVO attributes Xin-gang Chi* and De-hua Han, University of Houston Summary A new rock physics model based inversion method is put forward where the shaly-sand mixture
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 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 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 informationIntegrating Rock Physics into the Seismic Image
Government-Funded Exploration License Competition The project: Mid North Sea High Integrating Rock Physics into the Seismic Image Kinga Wroblewska, Geophysicist Geop4ysics Ltd Petex, 17 November 2016 Integrating
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 informationIJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 9, September 2015.
Prediction of petrophysical parameters applying multi attribute analysis and probabilistic neural network techniques of seismic data for Komombo Basin, Upper Egypt. Othman, A. A. A. 1, Ewida, H. F. 2,
More informationSEG/New Orleans 2006 Annual Meeting
Carmen C. Dumitrescu, Sensor Geophysical Ltd., and Fred Mayer*, Devon Canada Corporation Summary This paper provides a case study of a 3D seismic survey in the Leland area of the Deep Basin of Alberta,
More informationAVO responses for varying Gas saturation sands A Possible Pathway in Reducing Exploration Risk
P 420 AVO responses for varying Gas saturation sands A Possible Pathway in Reducing Exploration Risk Naina Gupta*, Debajyoti Guha, Ashok Yadav, Santan Kumar, Ashutosh Garg *Reliance Industries Limited,
More informationBPM37 Linking Basin Modeling with Seismic Attributes through Rock Physics
BPM37 Linking Basin Modeling with Seismic Attributes through Rock Physics W. AlKawai* (Stanford University), T. Mukerji (Stanford University) & S. Graham (Stanford University) SUMMARY In this study, we
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 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 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 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 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 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 informationRelinquishment Report for Licence Number P1356, Block 48/8c March 2008
Relinquishment Report for Licence Number P1356, Block 48/8c March 2008 Table of Contents 1.0 Header...3 2.0 Synopsis...3 3.0 Exploration Activities...4 4.0 Prospectivity Analysis...11 5.0 Conclusions...12
More informationRock-Physics and Seismic-Inversion Based Reservoir Characterization of AKOS FIELD, Coastal Swamp Depobelt, Niger Delta, Nigeria
IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) e-issn: 2321 0990, p-issn: 2321 0982.Volume 5, Issue 4 Ver. III (Jul. Aug. 2017), PP 59-67 www.iosrjournals.org Rock-Physics and Seismic-Inversion
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 informationSerica Energy (UK) Limited. P.1840 Relinquishment Report. Blocks 210/19a & 210/20a. UK Northern North Sea
Serica Energy (UK) Limited P.1840 Relinquishment Report Blocks 210/19a & 210/20a UK Northern North Sea January 2013 1 Header Licence: P.1840 Round: Licence Type: 26th Round Traditional "Drill-or-Drop"
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 informationGeophysical and geomechanical rock property templates for source rocks Malleswar Yenugu, Ikon Science Americas, USA
Malleswar Yenugu, Ikon Science Americas, USA Summary Sweet spot identification for source rocks involve detection of organic rich, high porous facies combined with brittleness, which is prone for hydraulic
More informationAVO inversion and Lateral prediction of reservoir properties of Amangi hydrocarbon field of the Niger Delta area of Nigeria
IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) e-issn: 2321 0990, p-issn: 2321 0982.Volume 2, Issue 2 Ver. II. (Mar-Apr. 2014), PP 08-17 AVO inversion and Lateral prediction of reservoir properties
More informationUse of Seismic Inversion Attributes In Field Development Planning
IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) e-issn: 2321 0990, p-issn: 2321 0982.Volume 6, Issue 2 Ver. II (Mar. Apr. 2018), PP 86-92 www.iosrjournals.org Use of Seismic Inversion Attributes
More informationSEG Houston 2009 International Exposition and Annual Meeting. that the project results can correctly interpreted.
Calibration of Pre-Stack Simultaneous Impedance Inversion using Rock Physics Scott Singleton and Rob Keirstead, Rock Solid Images Log Conditioning and Rock Physics Modeling Summary Geophysical Well Log
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 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 informationRock physics and AVO applications in gas hydrate exploration
Rock physics and AVO applications in gas hydrate exploration ABSTRACT Yong Xu*, Satinder Chopra Core Lab Reservoir Technologies Division, 301,400-3rd Ave SW, Calgary, AB, T2P 4H2 yxu@corelab.ca Summary
More informationLinearized AVO and Poroelasticity for HRS9. Brian Russell, Dan Hampson and David Gray 2011
Linearized AO and oroelasticity for HR9 Brian Russell, Dan Hampson and David Gray 0 Introduction In this talk, we combine the linearized Amplitude ariations with Offset (AO) technique with the Biot-Gassmann
More informationCase study: AVO analysis in a high-impedance Atoka Sandstone (Pennsylvanian), North Arkoma Basin, McIntosh County, Oklahoma
Case study: AVO analysis in a high-impedance Atoka Sandstone (Pennsylvanian), North Arkoma Basin, McIntosh County, Oklahoma MOHAMED A. EISSA, Tanta University, Egypt, and University of Oklahoma, Norman,
More informationAVO Attributes of a Deep Coal Seam
AVO Attributes of a Deep Coal Seam Jinfeng Ma* State Key Laboratory of Continental Dynamics, Northwest University, China jinfengma@sohu.com Igor Morozov University of Saskatchewan, Saskatoon, SK, Canada
More informationMETA ATTRIBUTES: A NEW CONCEPT DETECTING GEOLOGIC FEATURES & PREDICTING RESERVOIR PROPERTIES
META ATTRIBUTES: A NEW CONCEPT DETECTING GEOLOGIC FEATURES & PREDICTING RESERVOIR PROPERTIES FredAminzadeh*,FrisoBrouwer*,DavidConnolly* and Sigfrido Nielsen** *dgb-usa,onesugarcreekcenterblvd.,suite935,sugarland,tx,77478usa,tel.281-2403939,info.usa@dgb-group.com
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 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 informationGeophysical and geomechanical rock property templates for source rocks Malleswar Yenugu, Ikon Science Americas, USA
Geophysical and geomechanical rock property templates for source rocks Malleswar Yenugu, Ikon Science Americas, USA Summary Sweet spot identification for source rocks involve detection of organic rich,
More informationCarrizo Oil & Gas, Inc. (op) 40% E.ON Ruhrgas UK Exploration and Production Ltd. 30% Norwegian Energy Company UK Ltd. 30%
Relinquishment Report UKCS License P.1660 25 th Round Traditional Block 22/9b February 2011 Carrizo Oil & Gas, Inc. (op) 40% E.ON Ruhrgas UK Exploration and Production Ltd. 30% Norwegian Energy Company
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 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 informationP1645 Fig 1: Licence P1645 Introduction
Licence Number: P.1645 commenced 12 th November 2008 Licence Round: 25 th Licence Type: Traditional Block Number: 9/8b Operator: EnQuest (60%) Partners: Norwegian Energy Company (Noreco) UK Ltd 40% Work
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 informationQuantitative interpretation using facies-based seismic inversion
t Special section: Seismic inversion Quantitative interpretation using facies-based seismic inversion Ehsan Zabihi Naeini 1 and Russell Exley 2 Abstract Quantitative interpretation (QI) is an important
More informationSpectral decomposition based inversion: application on Brenda Field, Central North Sea Basin
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
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 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 informationRock Physics & Formation Evaluation. Special Topic
Volume 30 Issue 5 May 2012 Special Topic Technical Articles Dual representation of multiscale fracture network modelling for UAE carbonate field AVO and spectral decomposition for derisking Palaeogene
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 informationEstimating porosity of carbonate rocks using sequentially applied neural network based, seismic inversion.
Estimating porosity of carbonate rocks using sequentially applied neural network based, seismic inversion. Balazs Nemeth BHP Canada Summary In this case study, an inversion problem, that is too complex
More informationDownloaded 12/02/14 to Redistribution subject to SEG license or copyright; see Terms of Use at
Hydrocarbon-bearing dolomite reservoir characterization: A case study from eastern Canada Amit Kumar Ray, Ritesh Kumar Sharma* and Satinder Chopra, Arcis Seismic Solutions, TGS, Calgary, Canada. Summary
More informationUsing multicomponent seismic for reservoir characterization in Venezuela
Using multicomponent seismic for reservoir characterization in Venezuela REINALDO J. MICHELENA, MARÍA S. DONATI, ALEJANDRO A. VALENCIANO, and CLAUDIO D AGOSTO, Petróleos de Venezuela (Pdvsa) Intevep, Caracas,
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 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 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 informationEstimation of Elastic Parameters Using Two-Term Fatti Elastic Impedance Inversion
Journal of Earth Science, Vol. 6, No. 4, p. 556 566, August 15 ISSN 1674-487X Printed in China DOI:.7/s158-15-564-5 Estimation of Elastic Parameters Using Two-Term Fatti Elastic Impedance Inversion Jin
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 informationRelinquishment Report. for. Licence P.1046 Block 20/2c
Relinquishment Report for Licence P.1046 Block 20/2c Submitted to DTI in September 2006 September 2006 1 of 14 CONTENT 1 - Introduction 2 - Exploration Activities 2.1 - Purchase 100km2 of Aker 1999 survey
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 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 informationPre-stack (AVO) and post-stack inversion of the Hussar low frequency seismic data
Pre-stack (AVO) and post-stack inversion of the Hussar low frequency seismic data A.Nassir Saeed, Gary F. Margrave and Laurence R. Lines ABSTRACT Post-stack and pre-stack (AVO) inversion were performed
More informationSensitivity Analysis of Pre stack Seismic Inversion on Facies Classification using Statistical Rock Physics
Sensitivity Analysis of Pre stack Seismic Inversion on Facies Classification using Statistical Rock Physics Peipei Li 1 and Tapan Mukerji 1,2 1 Department of Energy Resources Engineering 2 Department of
More informationP235 Modelling Anisotropy for Improved Velocities, Synthetics and Well Ties
P235 Modelling Anisotropy for Improved Velocities, Synthetics and Well Ties P.W. Wild* (Ikon Science Ltd), M. Kemper (Ikon Science Ltd), L. Lu (Ikon Science Ltd) & C.D. MacBeth (Heriot Watt University)
More informationSadewa Field is in Kutei Basin in the Makassar Strait between
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
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 informationReservoir properties prediction using extended elastic impedance: the case of Nianga field of West African Congo basin
J Petrol Explor Prod Technol (017) 7:673 686 DOI 10.1007/s130-017-038-0 ORIGINAL PAPER - EXPLORATION GEOPHYSICS Reservoir properties prediction using extended elastic impedance: the case of Nianga field
More informationRobust one-step (deconvolution + integration) seismic inversion in the frequency domain Ivan Priezzhev* and Aaron Scollard, Schlumberger
Robust one-step (deconvolution + integration) seismic inversion in the frequency domain Ivan Priezzhev and Aaron Scollard, Schlumberger Summary Seismic inversion requires two main operations relative to
More informationSeismic reservoir characterization of a U.S. Midcontinent fluvial system using rock physics, poststack seismic attributes, and neural networks
CORNER INTERPRETER S Coordinated by Linda R. Sternbach Seismic reservoir characterization of a U.S. Midcontinent fluvial system using rock physics, poststack seismic attributes, and neural networks JOEL
More informationInterpretation of baseline surface seismic data at the Violet Grove CO 2 injection site, Alberta
Violet Grove seismic interpretation Interpretation of baseline surface seismic data at the Violet Grove CO 2 injection site, Alberta Fuju Chen and Don Lawton ABSTRACT Time-lapse seismic technology has
More informationRelinquishment Report. for. Licence P.272 Block 20/7a
Relinquishment Report for Licence P.272 Block 20/7a February 2007 1 of 16 CONTENT 1 - Introduction 2 - Exploration Activities 2.1 - Purchase 130km2 of Aker 1999 survey 2.2 Reprocessing of 3D Aker data
More information