Seismic reservoir characterisation
|
|
- Amos Reed
- 6 years ago
- Views:
Transcription
1 Seismic reservoir characterisation Unconventional reservoir (shale gas) Robert Porjesz B A K E R H U G H E S I N C O R P O R A TED. A LL R I G H TS R E S E R V E D. TERMS A N D C O N D I TI O N S O F U S E : B Y A C C E P TI N G THIS DOCUMENT, THE RECIPIENT A G R E E S THAT THE DOCUMENT TOGETHER W I TH A LL I N FORMATI O N I N C LUDED THEREIN I S THE C O N FI D E N TI A L A N D P R O P R I E TARY PROPERTY OF B A K E R H U G H E S I N C O R P O R A TED AND INCLUDES VALUABLE TRADE SECRETS AND/OR PROPRIETARY INF ORMA TI O N O F B A K E R H U G H E S (C O LLECTI V E LY "I N FORMATI O N "). B A K E R H U G H E S R E TAINS A LL R I G H TS U N D E R C O P Y R I G H T LAW S A N D TRADE SECRET LAW S O F THE U N I TED STATES OF A M E R I C A A N D O THER COUNTRIES. THE RECIPIENT FURTHER A G R E E S TH A T THE D O C U M E N T M A Y N O T B E D I S TRIBUTED, TRANSMITTED, C O P I E D O R R E P R O D U C E D I N W H O LE O R I N P A R T B Y A N Y M E A N S, E LECTRONIC, MECHANICAL, O R O THERWISE, W I THOUT THE EXPRESS PRIOR WRITTEN C O N S E N T O F B A K E R H U G H E S, A N D M A Y N O T B E U S E D D I R E C TLY O R I N D I R E C TLY IN A N Y W A Y D E TRIMENTAL TO BAKER HUGHES INTEREST.
2 Overview Introduction Conventional seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Unconventional (azimuthal) seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Integration with Quantitative mineralogy Microseismic Financial impact/concluding thoughts 2
3 Overview Introduction Conventional seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Unconventional (azimuthal) seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Integration with Quantitative mineralogy Microseismic Financial impact/concluding thoughts 3
4 Introduction Reservoir modelling/drilling plan, operational decision making Without seismic Actual data <25% Model data 4
5 Introduction / objectives Reservoir modelling/drilling plan, operational decision making With seismic Actual data <5% Model data 5
6 Introduction Seismic reservoir characterisation No seismic With seismic 6 But not only seismic
7 Shale Gas in the US Extensive drilling Since 1997, more than 13,500 gas wells completed in the Barnett shale 7
8 Maximum gas 6 mo. production (MCF) The shale learning curve 400,000 Horizontal Vertical Directional 350, , , , , ,000 Multistage Completions 50, Jan-81 Jan-83 Jan-85 Jan-87 Jan-89 Jan-91 Jan-93 Jan-95 Jan-97 Jan-99 Jan-01 Jan-03 Jan-05 Jan-07 Jan-09 Jan-11 Jan-13 Date Barnett Shale Development
9 Uncertainty 70% of unconventional wells in the U.S. do not reach their production targets.* 60% of all fracture stages are ineffective.** 73% of operators say they do not know enough about the subsurface* 9 *Source: Welling & Company, 2012 **Source: Hart s E&P,
10 The need for Shale Science Shale resources are not homogenous Shale development is capital-intensive Lateral wells with multi-stage completions are expensive Economic success rates are low with current approaches Stimulation requires a significant amount of water We can t drill everywhere DRILL / COMPLETE SMART 10
11 Bulk Density (GRI), g/cc Shale Play Seismic Characterization in a nutshell Is the rock brittle? Brittleness Reservoir Quality Gas in Place Porosity Saturation TOC BASIC ROCK PROPERTIES (GRI Method) 585 Samples y = x R² = All JIP Wells Johnson Trust 1 #2 (Bossier) Johnson Trust 1 #2 (Haynesville) Johnson Trust 1 #2 (Haynesville Lime) Total Organic Carbon (TOC), wt % Stress How will the fractures propagate? Shale Characterization 11
12 Overview Introduction Conventional seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Unconventional (azimuthal) seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Integration with Quantitative mineralogy Microseismic Financial impact/concluding thoughts 12
13 Unconventional reservoir rock physics What the (seismic driven) rock physics is? What are the benefits/objectives of applying rock physics analysis for reservoir modelling? 13
14 Unconventional reservoir rock physics What the (seismic driven) rock physics is? Kimmeridge Oil Shale Photo: Dr. Ramues Gallois (2011) 14
15 Unconventional reservoir rock physics What are the benefits/objectives of applying rock physics analysis for reservoir modelling? Kimmeridge Oil Shale Photo: Dr. Ramues Gallois (2011) 15
16 Unconventional reservoir rock physics What the (seismic driven) rock physics is? Pores / Fluid Rock Matrix 16 Rock frame bulk modulus Porosity Fluid saturation Temperature Pressure Share modulus Density.
17 Unconventional reservoir rock physics What the (seismic driven) rock physics is? 17 v p, v s, r Rock physics Rock frame bulk modulus Porosity Fluid saturation Temperature Pressure Share modulus Density.
18 Unconventional reservoir rock physics What the (seismic driven) rock physics is? 18
19 Unconventional reservoir rock physics 19
20 Bulk Density (GRI), g/cc Shale Play Seismic Characterization in a nutshell Is the rock brittle? Brittleness Reservoir Quality Gas in Place Porosity Saturation TOC BASIC ROCK PROPERTIES (GRI Method) 585 Samples y = x R² = All JIP Wells Johnson Trust 1 #2 (Bossier) Johnson Trust 1 #2 (Haynesville) Johnson Trust 1 #2 (Haynesville Lime) Total Organic Carbon (TOC), wt % Stress How will the fractures propagate? Shale Characterization 20
21 Pre-stack Inversion Workflow Seismic Data Conditioning Seismic Interpretation Well Seismic Ties Extract Wavelets Model Building Inversion V P V s 2 r r V V E Dyn P S 2 3K(1 2 ) k E E Dyn Stat 21
22 Pay Probability Map Haynesville Shale Gas 22
23 Multi Attribute - Production map HIGH HIGH WPTOC (mean) LOW Lambda Rho (min) LOW HIGH HIGH 23 BRITINDX (max) LOW S-impedance (mean) LOW
24 Multi Attribute - Production map WPTOC (mean) Lambda Rho (min) BRITINDX (max) S-impedance (mean) 24
25 Interpolation of Production Values ECONOMIC NON-ECONOMIC
26 Calibrated Production Map ECONOMIC NON-ECONOMIC 26
27 Overview Introduction Conventional seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Unconventional (azimuthal) seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Integration with Quantitative mineralogy Microseismic Financial impact/concluding thoughts 27
28 Bulk Density (GRI), g/cc Shale Play Seismic Characterization in a nutshell Is the rock brittle? Brittleness Reservoir Quality Gas in Place Porosity Saturation TOC BASIC ROCK PROPERTIES (GRI Method) 585 Samples y = x R² = All JIP Wells Johnson Trust 1 #2 (Bossier) Johnson Trust 1 #2 (Haynesville) Johnson Trust 1 #2 (Haynesville Lime) Total Organic Carbon (TOC), wt % Stress How will the fractures propagate? Shale Characterization 28
29 Impedance P-wave Azimuthal Anisotropy Azimuthal Impedance Azimuth Azimuth F High stress 29
30 Fractured media characterisation Slide 30 AVAz methods: The near offset Rüger equation Azimuthal Fourier coefficients Simultaneous elastic inversion of Fourier Coefficients 30
31 Fractured media characterisation Slide 31 AVAz methods: The near offset Rüger equation Azimuthal Fourier coefficients Simultaneous elastic inversion of Fourier Coefficients 31
32 The near offset Rüger equation Slide 32 A popular method to perform azimuthal AVO is the near offset approximation (Rüger and Tsvankin, 1997) 2 R(, f) A [ B iso B ani sin iso 2 f f ]sin Where R(,f): Data for a given angle of incidence and azimuth f A: Intercept B iso : Isotropic gradient B ani : Anisotropic gradient f iso : Azimuth of isotropy plane B ani is often associated to the crack density (Hudson et al., 1981) and f iso is the fracture orientation. 32
33 Fractured media characterisation Slide 33 AVAz methods: The near offset Rüger equation Azimuthal Fourier coefficients Simultaneous elastic inversion of Fourier Coefficients 33
34 Slide 34 (Downton, SEG 2011) Azimuthally invariant part contains both isotropic and fracture properties 2 nd order Fourier coefficients directly related to the anisotropic gradient B ani 4 th order Fourier coefficients provide additional fracture information Combination of Fourier coefficients provide fracture properties (e.g. weaknesses, compliances) and unambiguous fracture strike R pp ( f, ) r r2 cos(2( f fsym)) r4 cos(4( f f 0 sym )) 34
35 Amplitude Azimuthal angle stacks Azimuthal Fourier Coefficients n u 2 v 2 u 4 v 4 f x Amplitude vs. Azimuth (40 degrees) n u 2 v 2 u 4 v f Azimuth (degrees) 2 1 u 2 v 2 u 4 v 4 n n 35 f N
36 Fractured media characterisation AVAz methods: The near offset Rüger equation Azimuthal Fourier coefficients Simultaneous elastic inversion of Fourier Coefficients 36
37 SEI of azimuthal angle stacks f 1 n 2 (Downton and Roure, 2010) n f 2 f N n 2 1 TWT, Ip, Is, ρ δ T, δ N, Φ sym Inversion minimizes a three term cost function: Data misfit Prior model f 1 f 2 f N δ T : tangential weakness δ N : normal weakness Φ sym : symmetry axis Lateral continuity 37
38 SEI of Fourier coefficients u 2 v 2 u 4 v 4 1 (Roure and Downton, 2012) u 2 v 2 u 4 v 4 2 n u 2 v 2 u 4 v 4 TWT, g δ T, δ N, Φ sym Inversion minimizes a three term cost function: Data misfit Prior model θ 1 θ 2 θ N δ T : tangential weakness δ N : normal weakness Φ sym : symmetry axis g: (Vs/Vp)^2 Lateral continuity 38
39 Differential Horizontal Stress Ratio Interpretation Crossplot H- h H Static Young s Modulus 39 Zone 1: Ductile (RED) Zone 2: Aligned Fractures (YELLOW) Zone 3: Hydraulic Fractures (GREEN) Zone 4: Transition (GREY)
40 Combining Stress & Brittleness Seismic Predictions hmin = Closure Stress Pressure Hmax Hmax BRITTLE hmin Young s Modulus high low 40 low DHSR high H h Plate size: DHSR H Plate orientation: direction of H
41 Predicted average production calibrated to horizontal well length High Low 41
42 Overview Introduction Conventional seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Unconventional (azimuthal) seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Integration with Quantitative mineralogy Microseismic Financial impact/concluding thoughts 42
43 Introduction Seismic reservoir characterisation No seismic Quantitative mineralogy With seismic 43 But not only seismic
44 Cuttings Based Spectral Gamma Curve 75 µm 75 µm 44
45 Well log and XRD lithology with up-scaled and normalized RoqSCAN carbonate data (X s) 45
46 RoqSCAN SGR Redox & organic proxies RoqFRAC Cuttings Based Spectral Gamma Curve Vertical Data Summary Log Imported logs Bulk minerals Siliciclastics & carbonates Heavy minerals Provenance & marine indicators Porosity data Comments 46
47 Input to seismic attribute mapping and completions characterization ft
48 RoqFRAC ( Brittleness Index) vs. Dynamic Young s Modulus 48
49 Introduction Seismic reservoir characterisation No seismic Microseismic With seismic 49 But not only seismic
50 50
51 51
52 52
53 53
54 SRV SRV Correlation between SRV and Seismic-Derived Attributes For each stage: 1) Compute SRV 2) Compute average of seismic attribute inside SRV R = 0.68 (76 stages) R = (76 stages) 54 Young s Modulus DHSR
55 Overview Introduction Conventional seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Unconventional (azimuthal) seismic modelling Reservoir rock physics Seismic data for sweet spots Sample case history Integration with Quantitative mineralogy Microseismic Financial impact/concluding thoughts 55
56 Original 13 stages Frac design and calibrated production map 56
57 Targeted, 9 stages Frac design and calibrated production map Optimized locations for frac stages 57
58 Cumulative Cash Flow ($MM) Well Economics $10.0 $8.0 $6.0 $4.0 $2.0 $0.0 ($2.0) Month ($4.0) Base Case Test Case 1 Test Case 2 ($6.0) ($8.0) Original design 13 stages 9 stage design vs original 13 stages Optimized 9 stage design vs original 13 ($10.0) 58
59 Final comments The shale reservoir characterization workflow demonstrated utilizes a combination of detailed well analysis, pre-stack seismic inversion, and seismic anisotropy. There is no single silver bullet; multi-attribute analysis is required. Validation will help refine seismic processes, mineralogy and microseismic analysis show promising correlations. Sweet Spot maps and volumes are statistically derived. Judicious validation should be applied. 59
60 Thank you 60
An Integrated Petrophysical Approach for Shale Gas Reservoirs
An Integrated Petrophysical Approach for Shale Gas Reservoirs Richard Arnold & Matt Bratovich Baker Hughes Reservoir Development Services 1 2014 B A K E R H U G H E S I N C O R P O R A TED. A LL R I G
More informationWorkflows for Sweet Spots Identification in Shale Plays Using Seismic Inversion and Well Logs
Workflows for Sweet Spots Identification in Shale Plays Using Seismic Inversion and Well Logs Yexin Liu*, SoftMirrors Ltd., Calgary, Alberta, Canada yexinliu@softmirrors.com Summary Worldwide interest
More informationSHALE SCIENCE ALLIANCE
COver story Image courtesy of Baker Hughes. SHALE SCIENCE ALLIANCE Neil Peake, CGG, and Bill Whatley, Baker Hughes, explain how two companies working together to combine their geoscience capabilities and
More information2014 DEVEX Conferences, Aberdeen, May 6 th 2014 Morteza Akbari. 6 th and 7 th May Baker Hughes Incorporated. All Rights. Reserved.
6 th and 7 th May Analyzing the Correlations in Generalization of the Reservoir Information in a Well Completion Design Optimization using ICD s along the Horizontal section of a Wellbore 2014 DEVEX Conferences,
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 informationGeomechanics, Anisotropy and LMR
Geomechanics, Anisotropy and LMR Marco Perez *, Apache Canada Ltd, Calgary, AB, Canada marco.perez@apachecorp.com Bill Goodway, Apache Canada Ltd, Calgary, AB, Canada bill.goodway@apachecorp.com David
More informationSurface seismic data have proven to be an invaluable
SPECIAL Practical SECTION: applications Practical of applications anisotropy of anisotropy ARCANGELO SENA, GABINO CASTILLO, KEVIN CHESSER, SIMON VOISEY, JORGE ESTRADA, JUAN CARCUZ, EMILIO CARMONA, and
More informationUnderstanding NMR. Geoff Page Baker Hughes Region Petrophysics Advisor Baker Hughes Incorporated. All Rights Reserved.
Understanding NMR Geoff Page Baker Hughes Region Petrophysics Advisor 1 2017 B A K E R H U G H E S I N C O R P O R A TED. A LL R I G H TS R E S E R V E D. TERMS A N D C O N D I TI O N S O F U S E : B Y
More informationInvestigating the Barnett Shale
Investigating the Barnett Shale An Integrated Workflow from Petrophysics to Visualisation and Seismic Decomposition Vision for Energy The Barnett Shale 1981: Barnett Shale discovery 8,000+ wells to date
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 informationAVAZ and VVAZ practical analysis to estimate anisotropic properties
AVAZ and VVAZ practical analysis to estimate anisotropic properties Yexin Liu*, SoftMirrors Ltd., Calgary, Alberta, Canada yexinliu@softmirrors.com Summary Seismic anisotropic properties, such as orientation
More informationESP Technology Challenges for Ultra-Deepwater in Gulf of Mexico
ESP Technology Challenges for Ultra-Deepwater in Gulf of Mexico EuALF 2014 Author: Carlos Lopez Sr. Application Engineer C&P GOM 1 2014 B A K E R H U G H E S I N C O R P O R A TED. A LL R I G H TS R E
More informationAnalytic Tools for Quantitative Interpretation. Mrinal K.Sen
Analytic Tools for Quantitative Interpretation Mrinal K.Sen Tools Modeling of fractures static, dynamic, numerical Modeling seismic wave propagation in anisotropic media Travel time an amplitude based
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 informationExploration / Appraisal of Shales. Petrophysics Technical Manager Unconventional Resources
Exploration / Appraisal of Shales Rick Lewis Petrophysics Technical Manager Unconventional Resources Organic Shale Factors Controlling Gas Reservoir Quality Conventional sandstone Mineral framework Gas
More informationCHARACTERIZATION OF SATURATED POROUS ROCKS WITH OBLIQUELY DIPPING FRACTURES. Jiao Xue and Robert H. Tatham
CHARACTERIZATION OF SATURATED POROUS ROCS WITH OBLIQUELY DIPPING FRACTURES Jiao Xue and Robert H. Tatham Department of Geological Sciences The University of Texas at Austin ABSTRACT Elastic properties,
More informationEffects of VTI Anisotropy in Shale-Gas Reservoir Characterization
P-014 Summary Effects of VTI Anisotropy in Shale-Gas Reservoir Characterization Niranjan Banik* and Mark Egan, WesternGeco Shale reservoirs are one of the hottest plays in the oil industry today. Our understanding
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 informationAOG Conference Perth, West Australia 23 February, 2017
Geomechanics Assessment of Depletion (and Injection) Induced Changes: Risks of Reservoir Compaction & Subsidence, Well Integrity, Fault Reactivation & Earthquakes Abbas Khaksar (PhD) Global Geomechanics
More informationTechnology of Production from Shale
Technology of Production from Shale Doug Bentley, European Unconventional, Schlumberger May 29 th, 2012 Johannesburg, South Africa What are Unconventional Reservoirs Shale both Gas & Oil Coal Bed Methane
More informationGas Shale Hydraulic Fracturing, Enhancement. Ahmad Ghassemi
Gas Shale Hydraulic Fracturing, Stimulated Volume and Permeability Enhancement Ahmad Ghassemi Tight Gas A reservoir that cannot produce gas in economic quantities without massive fracture stimulation treatments
More informationSummary. Simple model for kerogen maturity (Carcione, 2000)
Malleswar Yenugu* and De-hua Han, University of Houston, USA Summary The conversion of kerogen to oil/gas will build up overpressure. Overpressure is caused by conversion of solid kerogen to fluid hydrocarbons
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 informationEffects of Fracture Parameters in an Anisotropy Model on P-Wave Azimuthal Amplitude Responses
PROC. ITB Eng. Science Vol. 38 B, No. 2, 2006, 159-170 159 Effects of Fracture Parameters in an Anisotropy Model on P-Wave Azimuthal Amplitude Responses Fatkhan Program Studi Teknik Geofisika FIKTM-ITB
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 informationEnvelope of Fracture Density
Dragana Todorovic-Marinic* Veritas DGC Ltd., Calgary, Alberta, Canada dragant@veritasdgc.com Dave Gray, Ye Zheng Veritas DGC Ltd., Calgary, Alberta, Canada Glenn Larson and Jean Pelletier Devon Canada
More informationRock Physics of Organic Shale and Its Implication
Rock Physics of Organic Shale and Its Implication Lev Vernik, Marathon Oil Corporation, Houston, USA lvernik@marathonoil.com Yulia Khadeeva, Marathon Oil Corporation, Houston, USA Cris Tuttle, Marathon
More informationOptimizing Vaca Muerta Development
Optimizing Vaca Muerta Development What can be applied from seismic experiences in the Eagle Ford and other unconventional plays? Wednesday, September 19, 2012 4:50 PM Murray Roth, President Transform
More informationP191 Bayesian Linearized AVAZ Inversion in HTI Fractured Media
P9 Bayesian Linearized AAZ Inversion in HI Fractured Media L. Zhao* (University of Houston), J. Geng (ongji University), D. Han (University of Houston) & M. Nasser (Maersk Oil Houston Inc.) SUMMARY A new
More informationAzimuthal AVO and Curvature. Jesse Kolb* David Cho Kris Innanen
Azimuthal AVO and Curvature Jesse Kolb* David Cho Kris Innanen Azimuthal AVO What is azimuthal AVO?: Analysis of incidence angle and azimuthal amplitude variations of reflection coefficients; Measures
More informationSENSITIVITY ANALYSIS OF AMPLITUDE VARIATION WITH OFFSET (AVO) IN FRACTURED MEDIA
SENSITIVITY ANALYSIS OF AMPLITUDE VARIATION WITH OFFSET AVO) IN FRACTURED MEDIA Mary L. Krasovec, William L. Rodi, and M. Nafi Toksoz Earth Resources Laboratory Department of Earth, Atmospheric, and Planetary
More informationAVAZ inversion for fracture orientation and intensity: a physical modeling study
AVAZ inversion for fracture orientation and intensity: a physical modeling study Faranak Mahmoudian and Gary F Margrave ABSTRACT AVAZ inversion We present a pre-stack amplitude inversion of P-wave data
More information6298 Stress induced azimuthally anisotropic reservoir - AVO modeling
6298 Stress induced azimuthally anisotropic reservoir - AVO modeling M. Brajanovski* (Curtin University of Technology), B. Gurevich (Curtin University of Technology), D. Nadri (CSIRO) & M. Urosevic (Curtin
More informationAVAZ inversion for fracture orientation and intensity: a physical modeling study
AVAZ inversion for fracture orientation and intensity: a physical modeling study Faranak Mahmoudian*, Gary F. Margrave, and Joe Wong, University of Calgary. CREWES fmahmoud@ucalgary.ca Summary We present
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 informationShale Capacity Key In Shale Modeling
SEPTEMBER 213 The Better Business Publication Serving the Exploration / Drilling / Production Industry Shale Capacity Key In Shale Modeling By Ahmed Ouenes HOUSTON After more than a decade of successful
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 informationFull-Azimuth 3-D Characterizes Shales
JULY 2013 The Better Business Publication Serving the Exploration / Drilling / Production Industry Full-Azimuth 3-D Characterizes Shales By Duane Dopkin, Joanne Wang and Shiv Pujan Singh HOUSTON Shale
More informationNORTH AMERICAN ANALOGUES AND STRATEGIES FOR SUCCESS IN DEVELOPING SHALE GAS PLAYS IN EUROPE Unconventional Gas Shale in Poland: A Look at the Science
NORTH AMERICAN ANALOGUES AND STRATEGIES FOR SUCCESS IN DEVELOPING SHALE GAS PLAYS IN EUROPE Unconventional Gas Shale in Poland: A Look at the Science Presented by Adam Collamore Co-authors: Martha Guidry,
More informationand 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 informationBest practices predicting unconventional reservoir quality
Introduction Best practices predicting unconventional reservoir quality Cristian Malaver, Michel Kemper, and Jorg Herwanger 1 Unconventional reservoirs have proven challenging for quantitative interpretation
More informationDetermination of Reservoir Properties from XRF Elemental Data in the Montney Formation
Determination of Reservoir Properties from XRF Elemental Data in the Montney Formation Justin Besplug, Ron Spencer and Tom Weedmark - XRF Solutions - www.xrfsolutions.ca Abstract Portable X-Ray Fluorescence
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 informationWe Challenges in shale-reservoir characterization by means of AVA and AVAZ
We-06-15 Challenges in shale-reservoir characterization by means of AVA and AVAZ N.C. Banik* (WesternGeco), M. Egan (WesternGeco), A. Koesoemadinata (WesternGeco) & A. Padhi (WesternGeco) SUMMARY In most
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 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 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 informationCorrelation of brittleness index with fractures and microstructure in the Barnett Shale
Correlation of brittleness index with fractures and microstructure in the Barnett Shale Z. Guo (British Geological Survey), M. Chapman (University of Edinburgh), X.Y. Li (British Geological Survey) SUMMARY
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 informationDownloaded 01/29/13 to Redistribution subject to SEG license or copyright; see Terms of Use at
The value of production logging combined with 3D surface seismic in unconventional plays characterization John Henry Alzate*, Roderick Perez, Deepak Devegowda, Kurt J. Marfurt, The University of Oklahoma
More informationElastic anisotropy in the Haynesville Shale from dipole sonic data
Elastic anisotropy in the Haynesville Shale from dipole sonic data Steve Horne, 1* John Walsh 2 and Doug Miller 3 Abstract Worldwide interest in shales as hydrocarbon resources has increased in recent
More informationStochastic Modeling & Petrophysical Analysis of Unconventional Shales: Spraberry-Wolfcamp Example
Stochastic Modeling & Petrophysical Analysis of Unconventional Shales: Spraberry-Wolfcamp Example Fred Jenson and Howard Rael, Fugro-Jason Introduction Recent advances in fracture stimulation techniques
More informationP314 Anisotropic Elastic Modelling for Organic Shales
P314 Anisotropic Elastic Modelling for Organic Shales X. Wu* (British Geological Survey), M. Chapman (British Geological Survey), X.Y. Li (British Geological Survey) & H. Dai (British Geological Survey)
More information3.4 Fuzzy Logic Fuzzy Set Theory Approximate Reasoning Fuzzy Inference Evolutionary Optimization...
Contents 1 Introduction... 1 1.1 The Shale Revolution... 2 1.2 Traditional Modeling... 4 1.3 A Paradigm Shift... 4 2 Modeling Production from Shale... 7 2.1 Reservoir Modeling of Shale... 9 2.2 System
More informationURTeC: Abstract
URTeC: 2902950 Can Seismic Inversion Be Used for Geomechanics? A Casing Deformation Example Jeremy J. Meyer 1*, Jeremy Gallop 1, Alvin Chen 1, Scott Reynolds 1, Scott Mildren 1 ; 1. Ikon Science Copyright
More informationHostile downhole conditions present complex challenges
Haynesville Shale Hostile downhole conditions present complex challenges Solving challenges. conservative estimates show 168 trillion cubic feet of natural gas Haynesville formation The Haynesville shale
More information2015 Training Course Offerings
2015 Training Course Offerings OilField Geomechanics offers a wide-range of the geomechanics-related training including: 1) Geomechanics for Unconventional Plays; 2) Basic Geomechanics for the Oilfield;
More informationSeismic anisotropy in coal beds David Gray Veritas, Calgary, Canada
Seismic anisotropy in coal beds David Gray Veritas, Calgary, Canada Dave_Gray@veritasdgc.com Summary Methods of measuring seismic azimuthal anisotropy are being used increasingly to detect fractures in
More informationWhat Can Microseismic Tell Us About Hydraulic Fracturing?
What Can Microseismic Tell Us About Hydraulic Fracturing? Shawn Maxwell May 2015 Microseismic Geomechanics: Increased understanding; reduced risk 1 Outline Microseismic Introduction Microseismic in Unconventional
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 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 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 informationSeismic fracture detection in the Second White Speckled Shale: Anisotropic perspectives on an isotropic workflow
Fracture detection in the SWS Seismic fracture detection in the Second White Speckled Shale: Anisotropic perspectives on an isotropic workflow David Cho, Craig Coulombe, Scott McLaren, Kevin Johnson and
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 informationOptimising Resource Plays An integrated GeoPrediction Approach
Optimising Resource Plays An integrated GeoPrediction Approach Edward Hoskin, Stephen O Connor, Scott Mildren, Michel Kemper, Cristian Malaver, Jeremy Gallop and Sam Green Ikon Science Ltd. Summary A mechanical
More informationIncreasing Production with Better Well Placement in Unconventional Shale Reservoirs
Increasing Production with Better Well Placement in Unconventional Shale Reservoirs David Hinz Global Advisor Imaging and LWD Interpretation Halliburton - Formation and Reservoir Solutions 1 Presentation
More informationQVOA analysis: P-wave attenuation anisotropy for fracture characterization
GEOPHYSCS, VOL. 7, NO. 3 MAY-JUNE 2006 ; P. C37 C48, FGS., 2 TABLES. 0.90/.29453 QVOA analysis: P-wave attenuation anisotropy for fracture characterization Tatiana Chichinina, Vladimir Sabinin, and Gerardo
More informationHalliburton Engineering for Success in Developing Shale Assets
Halliburton Engineering for Success in Developing Shale Assets Nov 30, 2010 Shale is a Very Broad Name Used to Describe a Large Category of Rock In conventional petroleum geology shale is thought of as
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 informationJourney to the Centre of the Unconventional Play: The Pathway from Regional Analysis through Quantitative Interpretation to Well Planning
Journey to the Centre of the Unconventional Play: The Pathway from Regional Analysis through Quantitative Interpretation to Well Planning September 26, 2012 Presented by: Cheryl Wright Neil Watson Amy
More informationKeys to Successful Multi-Fractured Horizontal Wells In Tight and Unconventional Reservoirs
Keys to Successful Multi-Fractured Horizontal Wells In Tight and Unconventional Reservoirs Presented by: Larry K. Britt NSI Fracturing & Britt Rock Mechanics Laboratory Key Questions for Horizontal Success
More informationThis paper was prepared for presentation at the Unconventional Resources Technology Conference held in Denver, Colorado, USA, August 2013.
URTeC Control ID Number: 1581818 Correlation of Azimuthal AVO Gradient Anisotropic Analysis and Curvature on Prediction of Fractures on Barnett Shale Shiguang Guo*, Bo Zhang, Tengfei Lin, Kurt J. Marfurt
More informationExact elastic impedance in orthorhombic media
Exact elastic impedance in orthorhombic media F. Zhang (hina University of Petroleum), X.Y. Li (hina University of Petroleum, British Geological Survey) SUMMARY onventional elastic/ray impedance approximations
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 informationInduced microseismic fracture prediction
Predicting hydraulically-induced microseismic fractures from seismic inversion volumes: A North Texas Barnett Shale case study Xavier E. Refunjol*, University of Oklahoma, Joël Le Calvez, Schlumberger,
More informationUnderstanding hydraulic fracture variability through a penny shaped crack model for pre-rupture faults
Penny shaped crack model for pre-rupture faults Understanding hydraulic fracture variability through a penny shaped crack model for pre-rupture faults David Cho, Gary F. Margrave, Shawn Maxwell and Mark
More informationA shale rock physics model for analysis of brittleness index, mineralogy, and porosity in the Barnett Shale
1 2 A shale rock physics model for analysis of brittleness index, mineralogy, and porosity in the Barnett Shale 3 4 5 6 7 8 9 Zhiqi Guo 1, Xiang-Yang Li 2,3, Cai Liu 1, Xuan Feng 1, and Ye Shen 4 1 Jilin
More informationDrill Cuttings Analysis: How to Determine the Geology of a Formation and Reservoir
Drill Cuttings Analysis: How to Determine the Geology of a Formation and Reservoir Chuck Stringer ASA Manager Southern Region 2015 TECH MKT_2014-BD-REG-1673 1 The one item that has lacked serious consideration
More informationFracture-porosity inversion from P-wave AVOA data along 2D seismic lines: An example from the Austin Chalk of southeast Texas
GEOPHYSICS, VOL. 72, NO. 1 JANUARY-FEBRUARY 2007 ; P. B1 B7, 7 FIGS., 3 TABLES. 10.1190/1.2399444 Fracture-porosity inversion from P-wave AVOA data along 2D seismic lines: An example from the Austin Chalk
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 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 informationDownloaded 08/30/13 to Redistribution subject to SEG license or copyright; see Terms of Use at
Modeling the effect of pores and cracks interactions on the effective elastic properties of fractured porous rocks Luanxiao Zhao*, De-hua Han, Qiuliang Yao and Fuyong Yan, University of Houston; Mosab
More informationShale Gas; Wellbore Positioning Challenges
Shale Gas; Wellbore Positioning Challenges Pete Clark, Directional Drilling Advisor ISCWSA, Copenhagen, 3/4/11 Shale Gas; Wellbore Positioning Challenges Why is it important to us? Emerging trend in drilling
More informationUNIVERSITY OF CALGARY. Elasto-static and -dynamic Analysis of Subsurface Fracture Phenomena. David Cho A THESIS
UNIVERSITY OF CALGARY Elasto-static and -dynamic Analysis of Subsurface Fracture Phenomena by David Cho A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR
More informationEstimation of fractured weaknesses and attenuation factors from azimuthal seismic data
Estimation of fractured weaknesses and attenuation factors from azimuthal seismic data Huaizhen Chen and Kris Innanen CREWES project Department of Geoscience University of Calgary Summary Seismic wave
More informationInversion of seismic AVA data for porosity and saturation
Inversion of seismic AVA data for porosity and saturation Brikt Apeland Thesis for the degree Master of Science Department of Earth Science University of Bergen 27th June 213 2 Abstract Rock physics serves
More informationRadiation pattern in homogeneous and transversely isotropic attenuating media
Radiation pattern in homogeneous and transversely isotropic attenuating media Satish Sinha*, Sergey Abaseyev** and Evgeni Chesnokov** *Rajiv Gandhi Institute of Petroleum Technology, Rae Bareli, UP 229010
More informationSTACK/STACK EXTENSION MERAMEC /OSAGE/ WOODFORD STUDY
STACK/STACK EXTENSION MERAMEC /OSAGE/ WOODFORD STUDY FIELD STUDIES OVERVIEW NUTECH has combined its expertise with the emerging interest in North American shale plays in order to develop the most detailed
More informationGEOPHYSICAL PROSPECTING: DYNAMIC RESERVOIR CHARACTERIZATION AND TIME-LAPSE MULTICOMPONENT SEISMOLOGY FOR RESERVOIR MONITORING UNESCO EOLSS
GEOPHYSICAL PROSPECTING: DYNAMIC RESERVOIR CHARACTERIZATION AND TIME-LAPSE MULTICOMPONENT SEISMOLOGY FOR RESERVOIR MONITORING Steven L. Roche CGGVeritas, Multicomponent Processing & Technology Group Thomas
More informationThe effects of seismic anisotropy and upscaling on rock physics interpretation and AVO analysis
The effects of seismic anisotropy and upscaling on rock physics interpretation and AVO analysis Mayowa Adeleye Petroleum Geosciences Submission date: June 2015 Supervisor: Alexey Stovas, IPT Co-supervisor:
More informationA Review of Three North American Shale Plays: Learnings from Shale Gas Exploration in the Americas*
A Review of Three North American Shale Plays: Learnings from Shale Gas Exploration in the Americas* David Waldo 1 Search and Discovery Article #80214 (2012)** Posted May 28, 2012 *Adapted from oral presentation
More informationP-wave reflection coefficients for transversely isotropic models with vertical and horizontal axis of symmetry
GEOPHYSICS, VOL. 62, NO. 3 (MAY-JUNE 1997); P. 713 722, 7 FIGS., 1 TABLE. P-wave reflection coefficients for transversely isotropic models with vertical and horizontal axis of symmetry Andreas Rüger ABSTRACT
More informationMITIGATE RISK, ENHANCE RECOVERY Seismically-Constrained Multivariate Analysis Optimizes Development, Increases EUR in Unconventional Plays
White Paper MITIGATE RISK, ENHANCE RECOVERY Seismically-Constrained Multivariate Analysis Optimizes Development, Increases EUR in Unconventional Plays SM Seismically-Constrained Multivariate Analysis Optimizes
More informationMulti-scale fracture prediction using P-wave data: a case study
Multi-scale fracture prediction using P-wave data: a case study Wanlu Zhang 1,2,*, Shuangquan Chen 1,2, Jian Wang 3, Lianbo Zeng 1, Xiang-Yang Li 1,2,4, 1. State Key Laboratory of Petroleum Resources and
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 informationCalibration of anisotropic velocity models using sonic and Walkaway VSP measurements
Calibration of anisotropic velocity models using sonic and Walkaway VSP measurements Rafael Guerra and Erik Wielemaker Schlumberger Wireline Contact authors at: JGuerra5@slb.com EWielemaker@slb.com London,
More informationFluid-property discrimination with AVO: A Biot-Gassmann perspective
Fluid-property discrimination with AVO: A Biot-Gassmann perspective Brian H. Russell, Ken Hedlin 1, Fred J. Hilterman, and Laurence R. Lines ABSTRACT This paper draws together basic rock physics, AVO,
More informationApplication of Geomechanics and Rock Property Analysis for a Tight Oil Reservoir Development: A Case Study from Barmer Basin, India
10 th Biennial International Conference & Exposition P 268 Application of Geomechanics and Rock Property Analysis for a Tight Oil Reservoir Development: A Case Study from Barmer Basin, India Summary Rupdip
More informationShale Development and Hydraulic Fracturing or Frac ing (Fracking) What is it?
P E T R O L E U M E N G I N E E R I N G D E P A R T M E N T Shale Development and Hydraulic Fracturing or Frac ing (Fracking) What is it? Dr. Will Fleckenstein, PE Colorado School of Mines 1 Who is involved
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 information