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ExxonMobil has drilled a horizontal well with a rig billed by Nabors as the first fully automated land rig. The big question now is whether ExxonMobil will come back for more after this three-well test.
The event aims to educate energy professionals on data science and have them use those skills on the challenges of geothermal energy.
Every year, SPE recognizes members who have made an exceptional effort to ensure the technical excellence of the Society’s peer-reviewed journals. For their contributions, the following individuals are recipients of the 2021 Outstanding Technical Reviewer Award.
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The ethics of artificial intelligence (AI) has become an important topic in the application of AI and machine learning in the past several years. This second part of a two-part series presents the relevance and use of the ethics of AI in engineering applications. Part 1 explains the evolution and importance of AI ethics. -
Two Houston-based blockchain technology companies—Data Gumbo and Topl—are collaborating to help corporations report timely and accurate environmental, social, and governance (ESG) data, including performance and proof of progress on metrics, while protecting sensitive data.
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Kamel Ben-Naceur sees petroleum engineering as essential to the energy transition not only because of the continued role that oil and gas will play in the energy mix moving forward but also because the skills of the profession are foundational and transferable.
The deal represents what will become the second deployment of an all-electric fracturing fleet built by Halliburton and with power supplied by VoltaGrid's microgrid technology.
In an increasingly data-dependent sector, oil and gas companies need to scale up their use of technology across the enterprise rapidly. Success will involve reframing the CIO’s role in driving not only digital transformation but also business outcomes.
Blockchain has moved past its status as a niche technology and now is being looked at as one that can transform many traditional industries by bringing digital automation, security, and potentially large cost savings. Shareholders have been pushing oil and gas businesses to cut expenses while increasing earnings, putting them under pressure. Blockchain can help the oi…
The collaboration will combine Lytt’s fiber-optic data analytics and cloud-based software with Baker Hughes’ completions and well intervention hardware.
Hiber, an industrial Internet-of-Things startup, announced that it has signed an agreement with Shell to provide well-integrity monitoring solutions globally.
A group of oil and gas executives and bitcoin miners mingled in a warehouse in Houston recently. One big topic of discussion: using stranded natural gas to power bitcoin mining rigs, which both reduces greenhouse-gas emissions and makes money for the gas providers, as well as the miners.
The UK’s Oil and Gas Authority has released 50 years of data from the North Sea in an effort to boost exploration and production and locate potential sites for carbon storage.
Fiber-optic technology company Silixa announced the installation, validation, and borehole seismic acquisition from a permanently installed fiber-optic distributed acoustic sensing system on BP’s Atlantis Phase 3 subsea field development.
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Innovative oil and gas companies are leveraging blockchain, but the industry as a whole may be slow to adopt the technology. -
The authors describe an integrated geological-engineering data-management project covering all aspects of well-engineering work flows. -
This paper presents a comprehensive comparison of two modeling-based approaches of fluid tracking for condensate allocation and gas usage. -
The outcome of the authors’ experiments revealed that the tertiary injection of nanoparticles results in additional oil recovery beyond the limit of low-salinity water.
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TGS, BGP, and CGG signed an agreement with state-owned Staatsolie to acquire, promote, and license multiclient seismic programs, including new 3D acquisition, in the shallow waters offshore Suriname. -
The authors describe how tools in machine learning are used to develop data-driven models that can be used for accurate and efficient fatigue-damage prediction for marine risers. -
The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale. -
This paper describes an artificial intelligence deep Q network for field-development plan optimization.
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This article examines how clusters with different properties are produced by different clustering algorithms. In particular, it provides an overview of three clustering methods: k-Means clustering, hierarchical clustering, and DBSCAN.
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The authors develop a data-driven approach, enabled by machine learning, to find an optimal operating envelope for gas-lift wells.
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The US Department of Energy’s Office of Fossil Energy and Carbon Management awarded a total of $600,000 to four software developers who won a contest to support FECM’s Science-Informed Machine Learning to Accelerate Real-Time Decisions in the Subsurface Initiative.
