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Optimization of Well Trajectory Under Uncertainty for Proactive Geosteering
- Yan Chen (IRIS) | Rolf Johan Lorentzen (IRIS) | Erlend H Vefring (IRIS)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- August 2014
- Document Type
- Journal Paper
- 2014.Society of Petroleum Engineers
- 5.1 Design and Optimization, 6.6 Reservoir Monitoring/Formation Evaluation, 6 Reservoir Description and Dynamics, 6.6.11 Formation Testing (e.g., Wireline, LWD), 5 Production and Operations, 5.4 Production Monitoring and Control, 5.1.4 Monitoring and Control
- data assimilation, uncertainty, robust optimization, Geosteering, logging while drilling
- 18 in the last 30 days
- 117 since 2007
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Various logging-while-drilling (LWD) and seismic-while-drilling (SWD) tools offer opportunities to obtain geological information near the bottomhole assembly during the drilling process. These real-time in-situ data provide relatively high-resolution information around and possibly ahead of the drilling path compared with the data from a surface seismic survey. The use of these in-situ data offers substantial potential for improved recovery through continuous optimization of the remaining well path while drilling. We show an automated workflow for proactive geosteering through continuous updating of the estimates of the Earth model and robust optimization of the remaining well path under uncertainty. A synthetic example is shown to illustrate the proposed workflow. The estimates of the depths of the reservoir surfaces and the depth of the oil/water contact and their associated uncertainty are obtained through the ensemble Kalman filter by use of directional-resistivity measurements. A robust optimization is used to compute the well position that minimizes the average cost function evaluated on the ensemble of geological models estimated from the ensemble Kalman filter (EnKF). The effect of modeling errors and the effect of joint estimation of the depths of the boundaries and gridblock resistivity are also investigated.
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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.