This paper discusses an alternative study approach with multiple lessons learned from a recent successful infill drilling campaign in a medium-sized brownfield. The team conducted a practical and an optimized subsurface study, including the no-frills classical reservoir engineering and a simple sector model to justify the infill wells. From idea generation to monetization of the barrels, it was fast and cost effective without compromising technical assurance.

Results of the infill drilling campaign and lessons learned are discussed in this paper. This is a case study on how a comprehensive understanding of reservoir complexity using creative data integration can be an adequate tool for field development. The results of the campaign demonstrated that an optimized study helps the operator and partners make an efficient investment decision in materializing development opportunities.

Keywords:
Reservoir Characterization, Artificial Intelligence, asset and portfolio management, field development optimization and planning, Upstream Oil & Gas, infill well, material balance analysis, communication, drilling campaign, production data
Subjects:
Reservoir Characterization, Asset and Portfolio Management, Seismic processing and interpretation, Field development optimization and planning
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2019. International Petroleum Technology Conference
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