Digital oilfield

Reservoir-Surveillance Data Creates Value in Fractured-Carbonate Applications

The objective of this paper is to illustrate a methodology for identifying the value of information (VOI) in reservoir management—in particular, for deriving the conditional probabilities of success when new and imperfect data are acquired.

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Determination of the value of information (VOI) is a well-known process for justifying data acquisition, but engineers struggle to extract relevant information from historical data to apply a Bayesian approach. The objective of this paper is to illustrate a methodology for identifying the VOI in reservoir management—in particular, for deriving the conditional probabilities of success when new and imperfect data are acquired.

Introduction

Managers tend to avoid costs and production losses related to data acquisition. Pressure and rate transient analyses (PTA and RTA) along extended production time allow reservoir characterization and understanding of near-wellbore characteristics; however, PTA and RTA alone do not provide pressure- and fluid-distribution prediction beyond the wellbore. Such a task requires integration with reservoir simulation.

The Role of Surveillance in Integrated Reservoir Management (IRM)

IRM defines the supervision of activities designed to manage subsurface hydrocarbon reservoirs.

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