Drilling
As Egypt’s largest oil and gas investor, Eni is ramping up its 2026–2027 drilling campaign with new investments cross the Mediterranean offshore, Nile Delta, Western Desert, and offshore Sinai to strengthen the country’s role as a regional gas and LNG export hub.
The deals, with a potential value exceeding $3.7 billion, are aimed at strengthening Saudi Aramco’s supply chains and expanding its use of industrial artificial intelligence.
Brownfield redevelopment and new exploration projects could lift Venezuelan output above 2 million B/D by next decade.
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In this paper, bottomhole-assembly lateral behavior is analyzed using different types of computations, including static, dynamic, frequency-based, and time-based. -
At SPE’s Permian Basin Energy Conference, operators shared behind-the-scenes details on innovations such as drilling horseshoe wells and trimulfrac completions along with in-basin challenges such as handling produced water.
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Digitalization and automation of the drilling process drive the need for an interoperability platform in a drilling operation, where a shared definition and method of calculation of the drilling process state is a fundamental element of an infrastructure to enable interoperability at the rigsite.
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This paper highlights a new online system for monitoring drilling fluids, enabling intelligent control of drilling-fluid performance.
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A proposed integrated workflow aims to guide prediction and mitigating solutions to reduce casing-deformation risks and improve stimulation efficiency.
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This year’s primary selections for the Drilling and Completion Fluids Technology Focus reflect now-well-established industrywide emphases on machine learning, automation, and the achievement of successful drilling of CO₂ storage wells.
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Technology uptake aimed at optimizing resources, delivering consistency, and augmenting what humans can do.
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The birthplace of Royal Dutch Shell, Indonesia and Malaysia, buck trends and grow their gas and oil industries, expecting a record number of final investment decisions in the next 4 years in gas, deep water, and carbon capture projects to support Southeast Asia’s booming economic growth.
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This paper investigates the use of machine-learning techniques to forecast drilling-fluid gel strength.
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This paper aims to close some of the many knowledge gaps that exist in the field of drilling CO₂ storage wells, a task that is expected to involve handling an influx of CO₂ into the drilling fluid.
