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In this paper, a case study is described in which a software solution enabled prescriptive optimization of well delivery using a physics-informed machine-learning approach for predictive identification and characterization of well-construction risks.

SPE conference authors offer a trio of papers that blend field practice, simulation optimization, and machine-learning techniques to more-efficiently pursue the goal of longer, highly deviated wells that only grows in importance to the industry with every passing year.

The paper describes the revalidation of a deepwater prospect that resulted in a no-drill decision.

This paper describes the integration of iterative torque/drag/buckling and hydraulic simulations for multiple tapered string combinations, the results of which guided the selection of a string configuration that deemed planned well total depths feasible.

SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months.

This section lists with regret SPE members who recently passed away.

Remote sensing techniques have proven their popularity. This paper demonstrates how modern information technology helps by adding more value to tested and proven sensors and systems within offshore marine operations.

The oilfield service company said its emissions reductions are thanks in part to the increased use of renewable energy and operation efficiencies.

The companies also agreed to collaborate on new AI models to unlock further insights from S&P Global Energy’s upstream data.

After tracking ARC Resources for more than 2 years, Shell is buying the company to access its tier-one Montney assets.