Unconventional/complex reservoirs
The $100-billion project is widely considered the largest unconventional development outside of the US and is noted by Aramco as the largest nonassociated gas development in the kingdom.
This paper presents a study of trapped-torque incidents during drillpipe connection, highlighting contributing factors and root causes and proposing prevention and mitigation measures for these transient events.
In this study, a method was developed to analyze the effects of drilling through transitions on bit-cutting structures and construct an ideal drilling strategy using a detailed drilling model.
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This work proposes a method to interpret far-field strain-change and pressure data to quantify fracture connectivity and properties at the cluster level. -
This paper extends an integrated two-scale continuum model that contemplates mass, momentum, and energy changes to study the acid-stimulation process in complex carbonate acid-stimulation systems with the development of fracture and vug networks.
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The authors of this paper write that autonomous outflow-control devices can positively affect matrix acidizing by providing the best possible conformance.
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Best practices are not static; they evolve alongside advancements that redefine what is achievable.
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Data mining techniques are unlocking new insights from the performance of thousands of Bakken wells. This article explores how those insights are helping refine completion optimization.
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In the wake of the falling number of exploratory wells in the country, Brazil-owned Petrobras addressed audience concerns as well as outlined new avenues for production at the Offshore Technology Conference.
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Three case studies consider the gas-related reasons electrical submersible pumps fail in unconventional shale environments.
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The Texas Railroad Commission has tightened its guidelines on the permitting of disposal wells in the Permian Basin.
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Strathcona doubles down on heavy oil—sells Montney assets for nearly CAD 3 billion, grabs Canada’s top crude-by-rail hub, and sets sights on MEG Energy in bold growth move.
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This article presents a comparative study evaluating four machine-learning approaches, including three deep-learning methods, for forecasting gas and condensate production over a 5-year horizon.
