Fracturing/pressure pumping
In this work, microseismic observations are integrated with strain and other observations to investigate the microseismic response in relation to the underlying hydraulic fracture geometry for different rock types.
This work proposes a method to interpret far-field strain-change and pressure data to quantify fracture connectivity and properties at the cluster level.
Modern completions often are equipped with downhole measurement devices that provide critical real-time data not only during the hydraulic fracturing treatment but also during the ensuing production phase.
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Two US test sites have fractured hot, dry rock with plans to create a network of fractures for water heating. They will soon find out if the fractures worked as expected. -
This article presents a new data-driven analysis to locate low-frequency seismic sources, referred to as near-infrasound or infrasound sources. Combining these infrasound signals with microseismicity signals allows for better characterization and monitoring of the stimulated reservoir volume.
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Fracturing hot rock to create a geological water-heating system is like fracturing an oil well, but for a different purpose, so is proppant really necessary?
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When confronted by extremely hot wells drilled into hard rock, engineers start looking for new tools and then ask, is there a cheaper option?
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From refracturing old wells to ones that don’t have to be fractured at all, notable producers argue that experiments are paying off.
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The SPE Hydraulic Fracturing Technology Conference and Exhibition is being held 31 January–2 February in The Woodlands, Texas.
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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 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.
