- Boolean operators
- This OR that
This AND that
This NOT that
- Must include "This" and "That"
- This That
- Must not include "That"
- This -That
- "This" is optional
- This +That
- Exact phrase "This That"
- "This That"
- (this AND that) OR (that AND other)
- Specifying fields
- publisher:"Publisher Name"
author:(Smith OR Jones)
A Decision Analytic Approach to Geosteering Operations
- Kanokwan Kullawan (University of Stavanger) | Reidar Bratvold (University of Stavanger) | J. Eric Bickel (University of Texas at Austin)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- March 2014
- Document Type
- Journal Paper
- 36 - 46
- 2014.Society of Petroleum Engineers
- 1.2.4 Trajectory Design, Survey Calculation, Collision Checking, 1.4.3 Downhole Operations (Casing, Cementing, Coring, Geosteering, Fishing), 1.4 Drilling Equipment and Operations, 1 Drilling and Completions, 1.3 Wellbore Design/Construction, 1.2 Drilling Design and Analysis, 1.3.2 Horizontal/Multilateral Wells, 1.1.4 Real-Time Data Transmission, Decision-Making, 1.1 Drilling Project Management
- geosteering, decision making, real-time decision while drilling, optimize well placement
- 18 in the last 30 days
- 370 since 2007
- Show more detail
The technique of geosteering has been widely adopted in the petroleum industry for proper wellbore positioning. The benefits of geosteering have become more pronounced as drilling environments have become more complex. Geosteering-related technologies, such as downhole information-gathering tools and real-time data-transmission and data-analysis applications, have been continuously and significantly improved to support geosteering decisions. However, the full value of these advancements has yet to be realized.Because of uncertainties in predrill geological models, information gathered while drilling is applied in making real-time reservoir navigation decisions. To achieve an optimal result requires a series of high-quality decisions regarding well-trajectory adjustment. Interestingly, geosteering-related literature does not demonstrate that the industry has applied a logically consistent approach for making geosteering decisions. Common practice, as described in the literature, does not clearly and quantitatively state measurable objectives, key underlying uncertainties, or relevance between underlying uncertainties and real-time information. Furthermore, it is unclear how a specific geosteering decision is being reached. Lacking a systematic and transparent framework for supporting geosteering decisions, the current approach is unlikely to result in optimal decisions for placing the well in the best possible location.1 In this paper, we introduce and discuss a decision-driven approach to the geosteering process. The main contributions of the paper are threefold: (1) a review of 46 SPE papers on geosteering, including a discussion of the main features of current geosteering methods; (2) the development and discussion of a decision analytic framework to support high-quality geosteering decisions; and (3) implementation of Bayesian inference techniques to consistently update ahead-of-the-bit reservoir uncertainties while behind-the-bit data are gathered in real time. The new framework relates real-time information to the key reservoir uncertainties and provides an unbiased and consistent approach for making high-quality geosteering decisions.
Adams, S.J. 2005. Quantifying Petrophysical Uncertainties. Paper SPE 93125 presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, 5–7 April. http://dx.doi.org/10.2118/93125-MS.
Al-Fawwaz, Abdullah, Al-Yosef, O., Al-Qudaihy, D. et al. 2004. Increased Net to Gross Ratio as the Result of an Advanced Well Placement Process Utilizing Real-Time Density Images. Paper SPE 87979 presented at the IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, Kuala Lumpur, Malaysia, 13–15 September. http://dx.doi.org/10.2118/87979-MS.
Bratvold, R.B. and Begg, S.H. 2010. Making Good Decisions, Society of Petroleum Engineers (Reprint).
Bratvold, R.B., Bickel, J.E., and Lohne, H.P. 2009. Value of Information in the Oil and Gas Industry: Past, Present, and Future (in English). SPE Res Eval & Eng 12 (4): 630–638. http://dx.doi.org/10.2118/110378-PA.
Carnell, A. 2013. Unlocking Resource Plays in Egypt—Opportunities and Challenges. Paper SPE 164690 presented at the North Africa Technical Conference and Exhibition, Cairo, Egypt, 15–17 April. http://dx.doi.org/10.2118/164690-MS.
Dawoud, A., Mohamed, A., Ahmed, E.M. et al. 2010. Geosteering Long Horizontal Holes in Abu Dhabi Heterogeneous Carbonate Reservoirs. Paper SPE 128851 presented at the SPE Oil and Gas India Conference and Exhibition, Mumbai, India, 20–22 January. http://dx.doi.org/10.2118/128851-MS.
Deri, P.C., Peternell, A., Hebert, J. et al. 2012. Reducing Uncertainties in Casing Depth and Formation Evaluation Using Look-Ahead Logging While Drilling Technology. Paper SPE 157771 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 8–10 October. http://dx.doi.org/10.2118/157771-MS.
Edwards, W., Miles, R.F., and Winterfeldt, D.V. 2007. Advances in Decision Analysis: From Foundations to Applications, Cambridge University Press (Reprint).
Eyvazzadeh, R.Y., Kelder, O., Phillips, C. et al. 2005. An Innovative Application to Reduce Petrophysical Uncertainty in Reservoir Monitoring: Case Studies From Giant Saudi Arabian Fields. Paper SPE 97519 presented at the SPE International Improved Oil Recovery Conference in Asia Pacific, Kuala Lumpur, Malaysia, 5–6 December. http://dx.doi.org/10.2118/97519-MS.
Fjellheim, R., Herbert, M., Arild, O. et al. 2010. Collaboration and Decision Support in Geosteering. Paper SPE 128721 presented at the SPE Intelligent Energy Conference and Exhibition, Utrecht, The Netherlands, 23–25 March. http://dx.doi.org/10.2118/128721-MS.
Giese, M. and Bratvold, R.B. 2011. Probabilistic Modeling for Decision Support in Integrated Operations (in English). SPE Economics & Management 3 (3): 173—185. http://dx.doi.org/10.2118/127761-PA.
Guevara, A., Sandoval, J., Guerrero, M. et al. 2012. Milestone in Production Using Proactive Azimuthal Deep-Resistivity Sensor Combined With Advanced Geosteering Techniques: Tarapoa Block, Ecuador. Paper SPE 153580 presented at the SPE Latin America and Caribbean Petroleum Engineering Conference, Mexico City, Mexico, 16–18 April. http://dx.doi.org/10.2118/153580-MS.
Howard, R.A. 1966. Decision Analysis: Applied Decision Theory, Stanford Research Institute (Reprint).
Howard, R.A. 1988. Decision Analysis: Practice and Promise. Management Sci. 34 (6): 679–695.
Janwadkar, S., Thomas, M., Privott, S. et al. 2012. Reservoir-Navigation System and Drilling Technology Maximize Productivity and Drilling Performance in the Granite Wash, US Midcontinent (in English). SPE Drill & Compl 27 (1): 22—31. http://dx.doi.org/10.2118/140073-PA.
Jia, A., Ji, G., He, D. et al. 2013. Challenges of Horizontal Well and Successful Cases for Tight Gas Development in China. Paper IPTC 16824 presented at the 6th International Petroleum Technology Conference, Beijing, China, 26–28 March.
Johnson, R.A. and Wichern, D.W. 2001. Applied Multivariate Statistical Analysis, fifth edition, Prentice Hall (Reprint).
Keeney, R.L. and Raïffa, H. 1976. Decisions With Multiple Objectives: Preferences and Value Tradeoffs, Wiley.
Leveque, S., Dupuis, C., Staermose, T. et al. 2012. Geosteering the Impossible Well: A Success Story From the North Sea. Paper SPE 159132 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 8–10 October. http://dx.doi.org/10.2118/159132-MS.
Lindsay, G. and Hughes, B. 2008. An Analysis of the At-Bit Resistivity Decision Making Process. Paper IPTC 12513 presented at the International Petroleum Technology Conference, Kuala Lumpur, Malaysia, 3–5 December.
Lovallo, D. and Sibony, O. 2010. The Case for Behavioral Strategy. In McKinsey Quarterly (March).
McNamee, P. and Celona, J. 2001. Decision Analysis for the Professional, SmartOrg, Incorporated (Reprint).
Natsir, M., Hasani, N., Tubagus, N. et al. 2012. Real-Time Bed Boundary Mapping and Formation DIP Image To Navigate Horizontal Well at Channel Sand Case Study: Niru Field—Pertamina UBEP Limau. Paper IADC/SPE 155056 presented at the IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, Tianjin, China 9–11 July. http://dx.doi.org/10.2118/155056-MS.
Omovie, S.J. and Pearson, W.R. 2012. Using Deep-Azimuthal Resistivity and 3D Seismic for Optimal Horizontal Well Placement: An Integrated Approach, Nipisi Field, Western Canada. Paper IADC/SPE 151047 presented at the IADC/SPE Drilling Conference and Exhibition, San Diego, California, 6–8 March. http://dx.doi.org/10.2118/151047-MS.
Parnell, G.S., Bresnick, T.A., Tani, S.N. et al. 2013. Handbook of Decision Analysis, Wiley (Reprint).
Rajaieyamchee, M.A., Bratvold, R.B., and Badreddine, A. 2010. Bayesian Decision Networks for Optimal Placement of Horizontal Wells. Paper SPE 129984 presented at the SPE EUROPEC/EAGE Annual Conference and Exhibition, Barcelona, Spain, 14–17 June. http://dx.doi.org/10.2118/129984-MS.
Rajaieyamchee, Mohamad Ali and Bratvold, R.B. 2009. Real Time Decision Support in Drilling Operations Using Bayesian Decision Networks. Paper SPE 124247 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 4–7 October. http://dx.doi.org/10.2118/124247-MS.
Rajaieyamchee, Mohamad Ali, and Bratvold, R.B. 2010. A Decision Analytic Framework for Autonomous Geosteering. Paper SPE 135416 presented at the SPE Annual Technical Conference and Exhibition, Florence, Italy, 19–22 September. http://dx.doi.org/10.2118/135416-MS.
Saputelli, L., Economides, M., Nikolaou, M. et al. 2003. Real-time Decision-making for Value Creation While Drilling. Paper SPE 85314 presented at the SPE/IADC Middle East Drilling Technology Conference and Exhibition, Abu Dhabi, United Arab Emirates, 20–22 October. http://dx.doi.org/10.2118/85314-MS.
Siegel, Eric. 2013. Predictive Analytics: the Power to Predict Who Will Click, Buy, Lie, or Die, first edition, Wiley.
Not finding what you're looking for? Some of the OnePetro partner societies have developed subject- specific wikis that may help.
The SEG Wiki
The SEG Wiki is a useful collection of information for working geophysicists, educators, and students in the field of geophysics. The initial content has been derived from : Robert E. Sheriff's Encyclopedic Dictionary of Applied Geophysics, fourth edition.