Risk management
This article analyzes Nigeria’s deepwater fiscal framework by examining its legal foundations, the practical operation of production-sharing contracts, and the allocation of financial risk between the government and international oil companies.
Lean Six Sigma, through its DMAIC framework, offers a data‑driven approach for reducing waste and variation in oil and gas operations and is explored here as a practical solution for improving drill-bit inventory and lease management despite limited industry adoption.
This article from the SPE Sustainable Development Technical Section (SDTS) explores how the next phase of methane performance will be defined less by pledges and more by measurement, response, and verifiable results.
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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. -
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.
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Decision analysis is not a cookbook or series of boxes that must be checked before a project is approved, argue professors Reidar Bratvold and Steve Begg, who share some pointers on how to map out the likely consequences of decisions, assess the importance of individual factors, and choose the best.
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