Formation evaluation
This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
Transitioning to a low-carbon economy demands large-scale CO2, natural gas, and hydrogen storage. In this context, the application of AI/ML technology to uncover geochemical, microbial, geomechanical, and hydraulic mechanisms related to storage and solve complicated history-matching and optimization problems, thereby enhancing storage efficiency, has been prominently …
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The utility of mud gas data so far has been limited to fluid typing, formation evaluation, and interwell geological and petrophysical correlation. The ongoing digital transformation has presented the opportunity to increase the utility of, and get more value from, the abundant and rich mud gas data. This article raises the question of whether getting more from mud gas…
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This paper describes a technology with the capability to map and detect lithology changes ahead of the bit in real time.
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Traditionally, wireline or logging-while-drilling formation-testing technology has been the most accepted means of reservoir fluid characterization. But when those fluids are contaminated by mud filtrate, acoustic data can be used for fluid characterization during downhole sampling to successfully track and quantify small changes in oil compressibility.
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This paper describes a technique used to derive stresses for a gas-storage field and then calibrate the 1D mechanical earth model of the field.
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The US Department of Energy’s Office of Fossil Energy and Carbon Management awarded a total of $600,000 to four software developers who won a contest to support FECM’s Science-Informed Machine Learning to Accelerate Real-Time Decisions in the Subsurface Initiative.
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The authors outline a case study involving the integration of static measurements to improve understanding of reservoir properties and support more-accurate reservoir evaluation.
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The authors develop a representative geostatistically based 3D model that preserves geological elements and eliminates uncertainty of reservoir properties and volumetric estimates for a Libyan field.
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The authors examine a theory that low resistivity in a Chinese reservoir is caused by bound water trapped in clay minerals and develop an improved model for production prediction of offset wells.
