| Popis: |
Joint integration of seismic and electromagnetic (EM) data can improve the quality of characterization of hydrocarbon reservoirs because these two types of measurement are based on fundamentally different physics so they are sensitive to different reservoir properties. In this work, we extended this advantage in reservoir monitoring by jointly integrating time-lapse seismic and EM data. One of the possible ways of combining two data sources is statistical integration, where the joint and conditional probability distribution function (PDF) of seismic and EM data, as well as reservoir properties, need to be modeled. However, there is a critical issue of the scale differences between well logs, seismic and EM data since each of them represents different volumes of a reservoir. Our goal is to establish a workflow to statistically integrate time-lapse seismic and EM data by developing proper and efficient methods to upscale the joint PDFs considering the scale differences between well logs, seismic and EM data. |
