3D and 4D Seismic Data Integration in Static and Dynamic Reservoir Modeling: A Review

Document Type : Research Paper

Author

Institute of Petroleum Engineering -University of Tehran

Abstract

Reservoir modeling is the process of generating numerical representations of reservoir conditions and properties on the basis of geological, geophysical, and engineering data measured on the Earth’s surface or in depth at a limited number of borehole locations. Therefore, reservoir modeling requires an incorporation of the data from a variety of sources, along with an integration of knowledge and skills from various disciplines. In particular, recent advances in 3D and time-lapse 4D seismic data acquisition, processing, and quantitative interpretation have led to an increasing use of seismic data in the reservoir modeling processes. This paper provides an overview of static and dynamic reservoir modeling and outlines the key roles of 3D and time-lapse 4D seismic data in reservoir characterization and model building/updating processes. The review focuses on the methods, workflows, and challenges in the incorporation of 3D/4D seismic data into the static and dynamic reservoir model building/updating processes.

Keywords

References

REFERENCES
Emami Niri M., “Seismic Data Integration and Multi-objective Optimization for 3D Reservoir Characterization and Model Building,” PhD Thesis, University of Western Australia, 2015, 1-87.
Mallet J. L., “Numerical Earth Models,” Journal of society of Petroleum Engineers, 2008, 3, 1-7.
Zakrevsky K., “Geological 3D Modeling,” EAGE Sustainable Earth Sciences Publications, 2011, 1-6.
Pyrcz M. J. and Deutsch C. V., “Geostatistical Reservoir Modeling (2nd ed.),” Oxford University Press, 2014, 1-429.
Dubrule O., Basire C., Bombarde S., Samson P., Segonds D., and et al., “Reservoir Geology Using 3-D Modeling Tools,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers (SPE-38659-MS), 1997, 1-16.
Caers J., “Petroleum Geostatistics,” Society of Petroleum Engineers, Richardson (1st ed.), 2005, 1-107.
Doligez B., Beucher H., Lerat O., and Souza O., “Use of a Seismic Derived Constraint: Different Steps and Joined Uncertainties in the Construction of a Realistic Geological Model,” Oil and Gas Science and Technology-Revue de l’IFP, 2007, 62(2), 237-248.
Dubrule O., “Geostatistics for Seismic Data Integration in Earth models (1st ed.),” SEG/EAGE Distinguished instructor short course, 2003, 6, 1-167.
Dutton D., “A New Technique to Improve 3-D Fault Geometry Interpretation from a Seismic Dataset: an Example from a Welded Growth Fault Family, Offshore Angola,” AAPG Annual Meeting, 2003.
Eaton T. T., “On the Importance of Geological Heterogeneity for Flow Simulation,” Sedimentary Geology Journal, 2006, 184(3), 187-201.
Sheriff R. E. and L. P. Geldart, “Exploration Seismology (2nd ed.),” Cambridge University Press, 1995, 1-426.
Onajite E., “Seismic Data Analysis Techniques in Hydrocarbon Exploration,” Elsevier, 2013.
Yilmaz Ö., “Seismic Data Analysis,” Tusla: Society of Exploration Geophysicists (1st ed.), 2001, 1-647.
Chopra S. and Marfurt K. J., “Seismic Attributes-A historical perspective,” Geophysics Journal, 2005, 70(5), 3-28.
Tarantola A., “Inverse Problem Theory and Methods for Model Parameter Estimation,” Society for Industrial and Applied Mathematics (SIAM), 2005, 1-26.
Kemper M., “Rock Physics Driven Inversion: the Importance of Workflow,” First Break, 2010, 28(10), 69-81.
Lancaster S. and Whitcombe D., “Fast Track Colored Inversion,” 69th Annual International Meeting, SEG (Society of Exploration Geophysicists), Extended Abstracts, 2000, 1572-1575.
Debeye H. and Riel V. P. “Lp-norm Deconvolution 1,” Geophysical Prospecting, 1990, 38( 4), 381-403.
Fatti J. L., Smith G. C., Vail P. J., Strauss P. J., and et al., “Detection of Gas in Sandstone Reservoirs Using AVO Analysis: A 3-D Seismic Case History Using the Geostack Technique,” Geophysics, 1994, 59(9), 1362-1376.
Hampson D., Russell B., and Bankhead B., “Simultaneous Inversion of Pre-stack Seismic Data,” 75th Annual International Meeting, SEG, Extended Abstracts, 2005, 1633-1637.
Haas A. and Dubrule O., “Geostatistical Inversion-a Sequential Method of Stochastic Reservoir Modeling Constrained by Seismic Data,” First Break Journal, 1994, 12(11), 561-569.
Gunning J. and Glinsky M. E., “Delivery: an Open-source Model-based Bayesian Seismic Inversion Program,” Computers and Geosciences, 2004, 30(6), 619-636.
Ravalec-Dupin L., Enchery G., Baroni A., and Da Veiga S., “Preselection of Reservoir Models from a Geostatistics-based Petrophysical Seismic Inversion,” SPE Reservoir Evaluation and Engineering, 2011, 14(05), 612-620.
Angeleri G. and Carpi R., “Porosity Prediction from Seismic Data,” Geophysical Prospecting, 1982, 30(5) 580-607.
Doyen P. M., “Porosity from Seismic Data A Geostatistical Approach,” Geophysics, 1988, 53(10), 1263-1275.
De Buyl M., “Optimum Field Development with Seismic Reflection Data,” The Leading Edge, 1989, 8(4), 14-20.
Cole J., Nebrija E. L., Saggaf M. M., Al-Shabeeb, et al., “Integrated 3D Reservoir Modeling for Permian Khuff Gas Development in Ghawar Field, Saudi Arabia,” The Leading Edge, 2003, 22(7), 666-669.
Emami Niri M. and Lumley D., “Initializing Dynamic Reservoir Models for History Matching Using Pre-production 3D Seismic Data,” 6th International Petroleum Technology Conference (IPTC-16650-MS), 2013.
Emami Niri M. and Lumley D., “An Uncertainty Analysis in Quantitative Integration of Inverted 3D Seismic Data for Static Reservoir Modeling,” 13th International Congress of the Brazilian Geophysical Society, 2013, 993-997.
Emami Niri M. and Lumley D., “Initializing Reservoir Models for History Matching Using Pre-production 3D Seismic Data-constraining Methods and Uncertainties,” Exploration Geophysics Journal, 2015, 1-12.
Bornard R., Allo F., Coleou T., Freudenreich F., and et al., “Petrophysical Seismic Inversion to Determine More Accurate and Precise Reservoir Properties,” SPE Europec/EAGE Annual Conference (SPE-94144-MS), 2005.
Emami Niri M. and Lumley D., “A Multi-Objective Stochastic Optimization Approach for Estimation of Subsurface Geomodels,” ASEG Extended Abstracts, 2013, 1-4.
Emami Niri M. and Lumley D., “Reservoir Model Estimation by Simultaneous Optimization of Multiple Objective Functions,” 76th EAGE Conference and Exhibition, 2014, Extended Abstracts.
Emami Niri M. and Lumley D., “A Multi-Objective Stochastic Optimization Method for Estimation of Subsurface Geomodels,” Journal of Applied Geophysics, 2016, 129, 187-199.
Bosch M., Mukerji T., and Gonzalez E. F., “Seismic Inversion for Reservoir Properties Combining Statistical Rock Physics and Geostatistics: A Review,” Geophysics Journal, 2010, 75(5), 165-176.
Saussus D. and Sams M., “Facies as the Key to Using Seismic Inversion for Modeling Reservoir Properties,” Journal of First Break, 2012, 30(7), 45-52.
Avseth P., Mukerji T., and Mavko G., “Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk (1st ed.),” Cambridge University Press, 2005, 313-319.
Coulon J., Lafet Y., Deschizeaux B., Doyen P., and et al., “Stratigraphic Elastic Inversion for Seismic Lithology Discrimination in a Turbiditic Reservoir,” 76th Annual International Meeting, SEG, Extended Abstracts, 2006, 2092-2096.
Emami Niri M. and Lumley D., “Probabilistic Reservoir Property Modeling Jointly Constrained by 3D Seismic Data and Hydraulic Unit Analysis,” SPE Asia Pacific Oil and Gas Conference and Exhibition, Society of Petroleum Engineers,, SPE-171444-MS, 2014.
Emami Niri M. and Lumley D., “Probabilistic Reservoir Property Modeling Jointly Constrained by 3D Seismic Data and Hydraulic Unit Analysis,” SPE Reservoir Engineering and Evaluation, 2016, 19(2), 253-264.
Pyrcz M., “Geostatistical Assignment of Reservoir Properties on Unstructured Grids,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers (SPE-77427-MS), 2002.
Chilès J. and Delfiner P., “Geostatistics: Modeling Spatial Uncertainty,” Wiley, 1999, 1-186.
Deutsch C. V. and Journel A. G., “Geostatistical Software Lbrary and User’s Guide,” Oxford University Press, 1992.
Doyen P. M., “Seismic Reservoir characterization: An Earth Modeling Perspective,” EAGE Publications Bv, 2007, 2, 1-147.
Emami Niri M. and Lumley D., “Simultaneous Optimization of Multiple Objective Functions for Reservoir Modeling and Seismic Data Matching,” Geophysics, 2015, 80(2), M53-M67.
Lumley D. and Behrens R., “Practical Issues of 4D Seismic Reservoir Monitoring: What an Engineer Needs to Know,” SPE Reservoir Evaluation and Engineering, 1998, 1(06), 528-538.
Bahar A., Abdel-Aal O., Ghani A., Silva F., and et al., “Seismic Integration for Better Modeling of Rock Type Based Reservoir Characterization: A Field Case Example,” Abu Dhabi International Conference and Exhibition (SPE-88793-MS), 2004.
Modin D. and Guilloux Y., “Geomodel to Seismic Feedback Loop-Method and Case Study,” 71st EAGE Conference and Exhibition, Extended Abstracts, 2009.
Rwechungura R. W., Dadashpour M., and Kleppe J., “Advanced History Matching Techniques Reviewed,” SPE Middle East Oil and Gas Show and Conference, Society of Petroleum Engineers, SPE-142497-MS, 2011, 1-19.
Hajizadeh Y., “Population-based Algorithms for Improved History Matching and Uncertainty Quantification of Petroleum Reservoirs,” PhD Dissertation, Heriot-Watt University, 2011, 1-83.
Saleri N. and Toronyi R., “Engineering Control in Reservoir Simulation: Part I,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, SPE-18305-MS, 1988.
Gao G., Li G., and Reynolds A. C., “A Stochastic Optimization Algorithm for Automatic History Matching,” SPE Journal, 2007, 12 (2), 196-208.
Fasanino G., Molinard J., de Marsily G., and Pelce V., “Inverse Modeling in Gas Reservoirs,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, SPE-15592-MS, 1986, 1-15..
Watson A., Wade J., and Ewing R., “Parameter and System Identification for Fluid Flow in Underground Reservoirs,” Proceedings of the Conference Inverse Problems and Optimal Design in Industry, Springer, 1994, 81-108.
Li R., Reynolds A., and Oliver D., “History Matching of Three-phase Flow Production Data,” SPE Journal, 2003, 8(4), 328-340.
Dadashpour M., “Reservoir Characterization Using Production Data and Time-lapse Seismic Data,” PhD Dissertation, Norwegian University of Science and Technology, 2009, 1-137.
Lumley D., “Seismic Time-lapse Monitoring of Subsurface Fluid Flow,” PhD Thesis, Stanford University, 1995, 1-79.
Lumley D., “Time-lapse Seismic Reservoir Monitoring,” Geophysics, 2001, 66(1), 50-53.
Calvert R., “Insights and Methods for 4D Reservoir Monitoring and Characterization (1st ed.),” SEG/EAGE Distinguished Instructor Short Course, 2005, 8, 1-217.
Johnston D. H., “Practical Applications of Time-lapse Seismic Data,” SEG Distinguished Instructor Short Course, 2013, 16, 1-27.
Anderson R. N., Boulanger A., He W., Xu L., and et al., “4D Time-lapse Seismic Monitoring in the South Timbalier 295 Field Gulf of Mexico,” Offshore Technology Conference, OTC-8312-MS, 1997, 868-871.
Burkhart T., Hoover A. R., and Flemings P. B., “Time-lapse (4-D) Seismic Monitoring of Primary Production of Turbid Reservoirs at South Timbalier Block 295, offshore Louisiana, Gulf of Mexico,” Geophysics, 2000, 65(2), 351-367.
Lygren M., Fagervik K., Valen T., Hetlelid A., and et al., “A Method for Performing History Matching of Reservoir Flow Models Using 4D Seismic Data,” Petroleum Geoscience, 2003, 9(1), 83-90.
Vasco D. W., “Seismic Imaging of Reservoir Flow Properties: Time-lapse Pressure Changes,” Geophysics Journal, 2004, 69(2), 511-521.
Jourdan J., Lefeuvre F., and Dubucq D, “Integration of 4D Seismic into the Dynamic Model: Girassol, Deep Offshore Angola,” First Break Journal, 2006, 24(4), 51-58.
Castro S. A., “A Probabilistic Approach to Jointly Integrate 3D/4D Seismic, Production Data and Geological Information for Building Reservoir Models,” PhD Thesis, Stanford University, 2007, 1-103.
Guderian K., Kleemeyer M., Kjeldstad A, Pettersson S., and et al., “Draugen Field-successful Reservoir Management Using 4D Seismic,” 65th EAGE Conference and Exhibition, Extended Abstracts, 2003.
Roggero F., Ding D. Y., Berthet P., Lerat O., and et al., “Matching of Production History and 4D Seismic Data-Application to the Girassol Field Offshore Angola,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, SPE-109929-MS, 2007, 1-20.
Fahimuddin A., Aanonsen S., and Skjervheim J. A., “Ensemble Based 4D Seismic History Matching-integration of Different Levels and Types of Seismic Data,” SPE Europe/EAGE Annual Conference and Exhibition, SPE-131453-MS, 2010, 1-15.
Waggoner J., “Integrating Time-Lapse 3D (4D) Seismic Data with Reservoir Simulators,” 63rd EAGE Conference and Exhibition, Extended Abstracts, 2001.
Huang X., Meister L., and Workman R., “Reservoir Characterization by Integration of Time-lapse Seismic and Production Data,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, SPE-38695-MS, 1997, 1-9.
Landa J. L. and Kumar D., “Joint Inversion of 4D Seismic and Production Data,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, SPE-146771-MS, 2011, 1-7.
Gosselin O., Aanonsen S., Aavatsmark I., Cominelli A., and et al., “History Matching Using Time-lapse Seismic,” Journal of Petroleum Technology, 2004, 56(4), 66-67.
Dong Y. and Oliver D. S., “Reservoir Simulation Model Updates via Automatic History Matching with Integration of Seismic Impedance Change and Production Data,” International Petroleum Technology Conference, IPTC-12550-MS, 2008.
Landa J. L. and Horne R. N., “A Procedure to Integrate Well Test Data, Reservoir Performance History and 4-D Seismic Information into a Reservoir Description,” SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, SPE-38653-MS, 1997, 1-16..
Stephen K. D., “Seismic History Matching with Saturation Indicators Combined with Multiple Objective Function Optimization,” SPE Europe/EAGE Annual Conference and Exhibition, SPE-164857-MS, 2013, 1-10.

Files

Share

How to cite

Statistics