简介:斯伦贝谢交叉井监控系统能够勘察更深地层。该系统包括预测井计划、建模、模拟、数据处理和反演,并最终汇总在一起。传统测井只能显示井内情况, 而该系统则显示了井间的地层情况,在波及系数监控方面比传统地震方法更有效,其监测的井间距离可达3280英尺。
Schlumberger’s DeepLook-EM enhanced crosswell-monitoring system includes prelogging planning, modeling, simulation, acquisition, processing, and inversion, all encompassed in a logical workflow culminating in a comprehensive interpretation of interwell resistivity profiles. Where traditional wireline logs tell what is in the wells, these logs show what is between them.
The system offers much higher resolution than seismic methods for sweep-efficiency monitoring, bypassed-pay detection, and reservoir simulation optimization, and it can generate detailed images between wells up to 3,280 ft apart.
Schlumberger DeepLook-EM tomography logging fills in the gaps between wells to profile reservoir-fluid movement, locate bypassed hydrocarbons, and quantify injection sweep efficiency.
Based on induction-logging principles, the acquisition uses a dynamic transmitter sonde to log one well while an array of receivers is positioned in an offset well. Wells can be openhole or cased; the interference of the steel casing is overcome by lowering the tool’s excitation frequency. Field tests provide vital information on the efficacy of water- and steamflood programs allowing identification of flow mechanisms and imaging of potentially bypassed pay zones.
Interwell heterogeneities that affect reservoir drainage and overall fluid movement, which are invisible to seismic, can be detected and their effects analyzed. Interwell resistivity variations can be caused by subsidence (porosity reduction), changes in saturation (waterflooding), and temperature (steamflooding). By monitoring fluid movements on a reservoir scale, this system provides an understanding of and predicts reservoir dynamics more precisely than in the past.
All field data are compiled within the company’s Petrel seismic-to-simulation software, and are integrated seamlessly into the model to interpret the logged reservoir volume. Parameters are constrained within the limits of geologic sense, and the acquisition model is cross-checked against simulation results to ensure that the scenario is appropriate for the measurement. This checking provides advance assurance that the measurement is capable of delivering expected results under the given conditions.
For additional information, visit
www.slb.com/deeplook .