Risk management
Operational drift in oil and gas starts with small, undocumented deviations that compound over time, making real-time visibility, digital workflows, and frontline execution data critical for preventing safety incidents, compliance failures, and costly operational disruptions.
As upstream operators move beyond isolated experiments, the hardest part of the AI journey is not building a model, it is making it stick.
This article from the SPE Integrated Reservoir Management Technical Section (IRMTS) addresses decision timing across the reservoir cycle.
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This article provides an overview of risk-based measurement, monitoring, and verification (MMV) for efficient, long-term CO2 storage. -
Delve into a method designed to analyze and solve problems in the offshore equipment inspection process in this article.
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SPE has established three new technical sections—the Management Technical Section, the Methane Emissions Management Technical Section, and the Data Science & Engineering Analytics Technical Section.
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A technical synopsis of major considerations for unconventional wells facing prolonged shut-ins. The review includes deciding factors for kill fluid selection and risks of incompatible fluid mixing.
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In North America’s most active shale fields, the drilling and hydraulic fracturing of new wells is directly placing older adjacent wells at risk of suffering a premature decline in oil and gas production.
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If a boom in electric vehicle sales takes place, a group of auto experts suggest it would represent a larger immediate threat to electricity supply than it would to oil demand.
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Industry regulators in Oklahoma have rolled out broad new restrictions on more than 600 disposal wells as part of the largest action of its kind taken in response to earthquakes.
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A sharp rise in seismic events in some areas of the United States where oil and gas production is booming is leading regulators and the industry to examine whether the two are related.
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The United States’ top offshore regulator said his agency is adopting new policies and measures to improve its working relationship with the offshore industry.
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Cost estimation for facilities depends on early concept selection and critical inputs, often complicated by uncertainty in one or more of the critical inputs. Empirical cost models and cost modeling methods using these inputs vary in degrees of scope, comprehensiveness, and robustness.
