Reservoir characterization
This paper presents a novel approach to predict reservoir porosity by conditioning seismic data, calibrating seismic impedance inversion, and tailoring rock-physics analysis.
This paper aims to assess the effectiveness of using advanced integrated production-data-analysis techniques for condensate-rich tight gas fields.
This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
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For those in shale exploration, “fracability” is a real word, a critical property, and a point of contention. -
This paper describes the application of the iterative ensemble smoother to the history matching of the Norne field in the North Sea.
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In the past decade, there has been a great deal of research and progress in the development of computational methods to assist reservoir engineers in the arduous task of history matching their models.
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This paper presents an efficient history matching approach that simultaneously integrates 4D repeat seismic surveys with well production data.
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In this paper, the authors propose a new method for time-lapse-seismic surveys focused on water-injector wells.
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Some remarkable breakthroughs in data quality have been shared in recent reviews, and the ongoing technical developments in data acquisition and processing remain truly exciting.
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Through examples of subsalt fields of the Kaombo project, we show how new techniques have had a positive effect.
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The Risha concession, in the desert of eastern Jordan (bordering Iraq, Syria, and Saudi Arabia) contains the partially developed Risha gas field.
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An integrated-asset-model (IAM) approach has been implemented for the Alpine field and eight associated satellite fields on the western Alaskan North Slope (WNS) to maximize asset value and recovery.
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Successful development of flank areas depends on accurate reservoir characterization—in particular, water-saturation distribution—in addition to the optimal areal and vertical placement of wells.
