1887

Abstract

We present a novel methodology for interpretation of high-angle and horizontal (HA/HZ) well data enabling comprehensive consideration of HA/HZ logs in large-scale reservoir characterization studies. The first step in the workflow is physics-based modeling and inversion of well logs, which yields reservoir structure (boundaries and faults, dips, cross bedding, etc.) and properties near the wellbore with high resolution. Subsequently, 3D geomodels are automatically updated with geometry and property information obtained in step one from log interpretation. We employ this in a giant carbonate field study to interpret hundreds of HA/HZ wells with the eventual objective to increase recovery by 25%, using our methodology integrated as a Web service into a geomodeling workflow. From the initial 3D geological model constructed using seismic and vertical well data, HA/HZ logs were inverted, and the results propagated back to the reservoir model. We perform refinements in well “curtain” cross-sections to match multiple log data by changing properties, dips, layer thicknesses, boundary and fault positions, and then automatically update the geometry and properties of the 3D model. Such automated 3D model update has never yet been attempted; in the case study, the logs were modeled at the rate of three wells per day, as compare to three days per well previously. Through this innovative approach, we (1) attain geomodels that honor high-resolution data through physics-based log modeling and automatic incorporation of inversion results into reservoir models; and (2) make feasible for reservoir engineers to directly refine geomodels while working on such tasks as formation evaluation (FE) and reservoir characterization.

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/content/papers/10.3997/2214-4609-pdb.350.iptc16828
2013-03-26
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.350.iptc16828
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