Constraining Reservoir Models by Integrating Data Across Disciplines

Fig. 1—Location of Field X and adjacent fields.

Field X in the North Sea was discovered in the 1980s, and large subsurface uncertainties exist regarding reservoir extent, fluid contacts, and reservoir properties. An integrated study was conducted to define subsurface models that honored the available data set and captured the uncertainty range. These subsurface models then were used in a dynamic realm to understand the effect of dynamic uncertainties such as aquifer strength, gas-cap size, and relative permeability, with an overall objective of generating low-, middle-, and high-case production forecasts.

Available Data

Two wells have been drilled in Field X, with Well X1 being the discovery well and Well X2 being the appraisal well (Fig. 1 above). The two wells confirmed the presence of an oil rim, approximately 200 ft thick, overlain by a primary gas cap. The hydrocarbon-bearing Tay formation was composed of thin-bedded sands, 3–5 ft thick. Data acquired from the wells included basic lithologs, reservoir pressures, fluid samples, and core data. Both wells had been production tested, which helped in understanding the producibility of these thin bedded zones. Seismic data in this area were processed and were also available for the feasibility study.

Regionally, the Eocene Tay formation is deposited in a structurally diverse basin, influenced by salt and gravity tectonics during the Late Jurassic and Early Cretaceous. The Tay formation can be subdivided into three major subunits—Upper Tay, Middle Tay, and Lower Tay.

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper IPTC 18234, “Constraining Reservoir Models by Integrating Data Across Disciplines—A Case Study of a Thin-Bedded Turbidite Field in the North Sea,” byManish K. Choudhary, SPE, Amit Keshri, SPE, and Kamalraj Mohan, SPE, Shell Technology Centre Bangalore, prepared for the 2014 International Petroleum Technology Conference, Kuala Lumpur, 10–12 December. The paper has not been peer reviewed. Copyright 2014 International Petroleum Technology Conference. Reproduced by permission.
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Constraining Reservoir Models by Integrating Data Across Disciplines

01 July 2015

Volume: 67 | Issue: 7


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