Reservoir
After tracking ARC Resources for more than 2 years, Shell is buying the company to access its tier-one Montney assets.
The US Department of Energy and Pennsylvania Department of Environmental Protection will convert a horizontal Utica Shale gas well into an enhanced geothermal system. Building directly on horizontal drilling and completion practices developed in the Utica, the project will include evaluation of optimal well orientation, lateral placement, and spacing.
An asset swap with PDVSA helps consolidate the supermajor’s heavy-oil operations in the country.
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Innovators at the Norwegian oil company have developed a machine-learning model that analyzes mud-gas data to predict the gas/oil ratio of wells as they are drilled—something that the industry has worked for decades to accomplish. -
As I reviewed all the SPE seismic papers this time, the most noticeable thing was the diversity of themes and case histories that were covered.
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In striving to boost production of shale gas and tight oil, China is trying enhanced-hydraulic-fracturing technology and real-time data analysis in the Sichuan shale basin. In Daqing’s tight-oil fields, an alternative fracture-completion strategy and post-stimulation flowback technology has been tested.
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Sinopec is moving on to Phase 2 at its Weirong shale-gas development in Sichuan province after having completed Phase 1 by drilling 56 new wells over the past year and building new infrastructure to support increased natural gas production.
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An investigation of casing damage led Chesapeake Energy and Well Data Labs to identify patterns in the treating pressure data that are useful markers when trouble is likely.
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With only around 30 installations worldwide, ADNOC’s onshore team has seen enough results from its first “fishbone” stimulation to embark on a 10-well program that will decide a full development scheme.
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In the complete paper, the authors present a novel approach that uses data-mining techniques on operations data of a complex mature oil field in the Gulf of Suez that is currently being waterflooded.
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The complete paper aims to identify the role of different geological settings with different types of fluid saturations in the response of EM-wave propagation and absorption.
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In the complete paper, the authors generate a model by using an artificial-neural-network (ANN) technique to predict both capillary pressure and relative permeability from resistivity.
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Eni and IBM developed a cognitive engine exploiting a deep-learning approach to scan documents, searching for basin geology concepts and extracting information about petroleum system elements.
