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EQT is benchmarking its way to basin-leading productivity and relying on partnerships and new technology to turn KPIs into operational reality.

This paper examines the effects of cement voids and microannuli on the collapse resistance of pipe/cement/pipe systems with void angles ranging from 0º to 70º.

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.

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.

Drilling experts recently shared candid views on what will be required for their segment of the upstream business to move to the next stage of development.

This case study from Italian technology developer Sentris highlights the effectiveness of using sensors during pigging operations to optimize cleaning efficiency.

This month’s column highlights how artificial intelligence is influencing SPE programming, publications, and new tools, while also transforming day‑to‑day operations across our industry. The column explores energy supply implications and practical field applications, showing how SPE is helping members turn AI into a tool for progress.

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Hydraulic fracturing holds great potential in the region, but there are several key questions worth asking as efforts move forward.