Resolving Uncertainties in Historical Data and the Redevelopment of Mature Fields

Agbon, I.S.; Aldana, Gloria; Araque, J.C.; Mendoza, Alberto; Ramírez, Ma Emilia Hervás

doi:10.2118/81101-ms

Cited by 2 publications

(1 citation statement)

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“…Also, according to various authors worldwide, one of the key challenges related to mature fields is data availability, reliability and relevancy (Parshall, 2012), as case studies from Kazakhstan (Elliott et al, 1998;Bigoni et al, 2010), Russia (Cimic, 2006), Venezuela (Agbon et al, 2003), Indonesia (Handayani & Simamora, 2012), or India (Tiwari et al, 2015) show. Similar challenges were also identified in the case of Field A during Phase 1.…”

Section: Discussionmentioning

confidence: 99%

Challenges of a mature Russian field's redevelopment – Advantages and disadvantages of quick-look geologic modeling

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2021

CEuGeol

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Due to the global oil price crisis in 2014, one of the MOL's preventive/reactive measures was to identify geologically or commercially risky elements within their portfolio. This involved reevaluation of all geologic data from Field A in the Volga-Urals Basin. In re-evaluating Field A, several unexpected challenges, problems and pitfalls were faced by the interdisciplinary team performing the task of building a new database, quality checking, and interpreting data dating back to 1947. To overcome these challenges related to this mature field, new approaches and fit-for-purpose methods were required in order to achieve the overall goal of obtaining a reliable estimation of remaining hydrocarbon potential. In the first phase a first-pass 3D geologic model was constructed, along with wrangling, cleaning and interpreting 70 years of subsurface data. This paper focuses on the main challenges involved in evaluating or reevaluating reservoir aspects of a mature field.The primary challenges were related to the estimation of remaining in-place hydrocarbon volumes, the optimization of infill well placement, the identification of primary and secondary well targets, the identification of critical data gaps, and the planning of new data acquisitions. The hands-on experience gained during the development of the geologic model provided invaluable information for the next steps needed in the redevelopment of the field.

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