Drilling
This study identifies critical knowledge gaps in wellbore integrity and underscores areas that require further investigation, providing insights into how wellbores must evolve to meet the technical demands of the energy transition.
This study illustrates the new capabilities, tailored for CO₂ storage applications, of a modeling framework that provides a quantitative, risk-based assessment of the long-term integrity of legacy plugged and abandoned wells.
Two critical facets of the discipline of well control and wellbore integrity—decarbonization and groundbreaking automation of essential processes—are highlighted in the three primary paper selections presented at SPE and SPE-affiliated conferences during the past year.
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This work provides a new modeling tool, validated against a static-wellbore solver and field data, to estimate and manage downhole temperature in higher-temperature oil, gas, and geothermal wells. -
This paper describes results of a study indicating that an enzyme/in-situ organic acid generated cleanup system was effective at degrading filter cake for a water-based-mud field sample, reflected in the obtained return permeability of nearly 83%.
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The Research Council of Norway’s $118,000 grant will support development of longer fishbone laterals to raise production while lowering carbon footprints.
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The effects of aging and temperature on the performance of one-part “just add water” granite based geopolymers are studied for application in well cementing and abandonment. Further studied is the role of zinc as a strength enhancer over a long curing period.
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New studies examine whether two innovative well designs should have a bigger role to play in the race to get more value out of tight rock reservoirs.
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Backed by more than $28 million in fresh investments, XGS Energy is prepping to introduce a new technology called thermal reach enhancement.
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This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.
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This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.
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The authors of this paper present the results of implementing a rig-automation solution applied to 20 wells in Ecuador in 2022.
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In recent years, operators and service companies have optimized drilling activities and reduced operational costs by accelerating the deployment of digital solutions. Among other applications, predictive data analytics are commonly used to estimate rock properties, reduce operational uncertainty, improve equipment maintenance processes, and optimize scarce human resou…
