Concepedia

Abstract

Abstract Progression of Microbial EOR (MEOR) technology from the laboratory towards field trial is described. An overview is provided of evaluation steps and field trial risk management through laboratory testing and numerical simulation, together with assessment of operational factors which could impact a long-duration field trial. Previously MEOR has often been applied in onshore operations which carry relatively low risk. Where MEOR is to be applied in high value wells or higher risk environments such as the arctic or offshore deepwater, a higher degree of assurance is necessary to mitigate technical risks and maximise economic value. It is also essential to have sufficient understanding of base performance to ensure appropriate application and interpretation of the EOR process. To ensure success of an MEOR process, there needs to be a sufficient understanding of the performance of the microbes and the relevant MEOR mechanisms operating in the specific reservoirs. Multiple processes have been characterised and represented to enable improved understanding of a microbial technology and its potential field implementation. This paper will focus on screening of candidate reservoirs, and the methodology adopted to upscale core-scale results to prediction of performance in the field. This will include the choice of simulation models used for mechanistic understanding at the core scale and prediction of performance at the reservoir scale. It will also discuss some of the field operational aspects which need to be considered for well selection for field trial, including injectivity and surveillance requirements. Potential constraints on application of MEOR in the field have been identified, assessed and mitigated where possible in order to maximise chances of success. MEOR technologies are often poorly understood, which creates uncertainty and apprehension around their use. The approach described here has been used to reduce uncertainty in progressing towards field application of a novel MEOR technology.

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