DSDE: In Practice
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This paper describes a method with multitiered analysis to leverage machine-learning techniques to process passive seismic monitoring data, pumping and injection pressure, and rate for fracture and fault analysis. -
This project aimed to identify and report occupational risks on an offshore drilling rig and save reporting and evaluation time by creating AI-generated dashboards.
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The authors of this paper describe a suite of technologies that enables enhanced well robustness and performance modeling and monitoring of carbon storage facilities.
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The authors of this paper describe an approach in which all available technologies are combined to improve understanding of reservoir depositional environments.
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The authors of this paper describe a project in which Raleigh frequency-shift distributed strain sensing monitored during production in a far-field observation well was translated to an estimated pressure profile.
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Finding and producing crude and natural gas is far, far removed from the days of acting on a geologist’s hunch or a wildcatter’s gut feeling.
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This paper describes an 18-month intensive continuous improvement process between an operator, a rig contractor, and bottomhole-assembly (BHA) service providers aimed at reducing BHAs per well in two Oklahoma rigs.
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This paper presents the concept of a supervisory and advisory system dedicated to support the detection of abnormal events and to provide guidelines for fluid treatment.
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This paper highlights a thermodynamic modeling approach used to determine the optimal depth for installation of a wax-inhibition tool.
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The authors of this paper write that computationally coupled models enable swift, accurate, and engineered decision-making for optimal asset development.
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