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Webinar will examine how human factors can help with implementing automation in the oil and gas industry.
Geosteering is supposed to ensure the wellbore stays in the most-productive zone, but a recent study suggests it often misses the mark.
The SPE Workshop “Impact of Digitalization on Drilling Operations” began on 29 November in Al-Khobar, Saudi Arabia, welcoming 316 attendees from 17 countries and 44 companies.
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Nabors' RZR-equipped rig has successfully drilled multiple horizontal wells in the Permian Basin. -
Large geological models are needed for modeling the subsurface processes in geothermal, carbon-storage, and hydrocarbon reservoirs. The size of these models contributes to the computational cost of history matching, engineering optimization, and forecasting. To reduce this cost, low-dimensional representations need to be extracted. Deep-learning tools, such as autoenc…
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The new Methane Alert and Response System initiative aims to scale up global efforts to detect and act on major emission sources in a transparent manner and accelerate implementation of the UN’s Global Methane Pledge. The system is designed to alert governments, companies, and operators about large methane sources to aid rapid mitigation.
Only 30% of oil and gas companies have successfully scaled digital manufacturing. In this video, McKinsey & Company presents a few digital transformation ideas that can help oil and gas CEOs achieve real impact on production key performance indicators.
A network of more than 1,600 offshore facilities produces a significant portion of US domestic oil and gas. The facilities, which rely on technology to remotely monitor and control equipment, face a growing risk of cyberattacks.
Baker Hughes has signed a memorandum of understanding with Petronas to deploy industrial digital capabilities through Petronas’ AI Center of Excellence in Malaysia.
Remote operations and automation have reshaped the drilling landscape in recent years, but this may be just the beginning. Find out here which big milestones may be coming up next for the drilling sector.
The rolling ultrasound scanner was used to confirm the integrity of concrete-based structures.
In the search for leaks, more oil and gas companies are making the argument that ground-based inspections cannot compete with aerial surveys.
Oil and gas operators around the globe are targeting reductions in offshore carbon emissions, and facilities electrification is the key that will help them meet their goals.
Schlumberger and Cognite have partnered to integrate Schlumberger’s Enterprise Data Solution for subsurface with Cognite Data Fusion, Cognite’s open industrial DataOps platform.
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The authors of this paper discuss an integrated cloud-based work flow aimed at evaluating the cost-effectiveness of adopting geothermal production in low- to medium-enthalpy systems. -
This paper presents a survey of air/water and air/water/sand flow through circular and triangular pipes to study potential effects of triangular pipe geometry. -
This research addresses the bottlenecks experienced in supply-chain management (SCM) in an African hydrocarbon company. These bottlenecks slow down processes and make the procedures tedious, leading to operational inefficiencies. This paper discusses the security of the SCM data and the overall automation of the procurement value chain, providing transparency to the s… -
The authors discuss the development of a deep-learning model to identify errors in simulation-based performance prediction in unconventional reservoirs.
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The authors discuss a study based on twistoffs experienced with bottomhole assembly components during drilling operations and provide recommendations for reduction or elimination of these incidents. -
The complete paper outlines adaptations of the SPE Petroleum Resources Management System to a company’s business processes. -
This paper presents a numerical simulation work flow, with emphasis on hydraulic fracture simulation, that optimizes well spacing and completion design simultaneously. -
This paper describes the deployment of an ultradeep electromagnetic directional-resistivity instrument to map injection-water movement.
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Synthetic data generation is a solution that allows citizen data scientists and auto ML users to quickly and safely create and use business-critical data assets. Benefits go beyond democratizing data access, and even those with privileged data access build synthetic data generators into their work flows.
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This paper describes a novel method based on machine learning to maintain an evergreen competency database. The tool reduces discrepancies between organizational requirements and the actual talent deployment by using unstructured corporate data.
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A successful round of sea trials moved the seismic technology company Blue Ocean Seismic Services closer to operational scaleup and commercial operations of its data-collection network.
