Completions
Industry experts at URTeC assessed more than a decade of unconventional growth while discussing where productivity gains will come from next.
Chevron and Halliburton describe how they built and deployed the fully autonomous closed-loop fracturing system that enables subsurface-driven optimization.
Weatherford CEO Girish K. Saligram said the acquisition will bolster Weatherford’s completions offerings and unconventional reservoir capabilities.
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The SPE Hydraulic Fracturing Technology Conference and Exhibition is being held 31 January–2 February in The Woodlands, Texas. -
Moving into 2023, perhaps it will be safe to say that the era of the low-carbon energy mix has begun as the primary energy production landscape is changing fast. Until now, fossils fuels have dominated, and may still for the next few years dominate, the energy mix; however, a shift is taking place that will gain momentum, driven by global efforts toward addressing cli…
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The authors of this paper describe a software technology that balances calculated well-integrity risk with the associated financial impact for an entire integrity-surveillance program.
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The authors of this paper investigate the risk of containment loss for a leaking well using a 1-sq-mile section of the Denver-Julesburg Basin.
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This study evaluates well integrity and CO2-leakage risk in wells penetrating a CO2 storage reservoir in Malaysia.
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ProPetro will provide committed services for a 3-year period to an undisclosed Permian Basin operator.
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This paper presents field cases of a rigless wireline logging technique that accurately locates sources of water production in cased wells with standalone sand screens in an offshore field in the Caspian Sea.
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This paper presents a numerical simulation work flow, with emphasis on hydraulic fracture simulation, that optimizes well spacing and completion design simultaneously.
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Recent studies have reignited the question of whether US oil and gas companies are ignoring the opportunity to refracture large swaths of maturing assets.
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The authors discuss the development of a deep-learning model to identify errors in simulation-based performance prediction in unconventional reservoirs.
