Unconventional/complex reservoirs
The events will be co-located 3–5 May 2027 at Reliant Park in Houston, Texas.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
Output is rising fast in the South American shale play and putting Argentina on a course to soon reach 1 million B/D.
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This paper describes rock-compressibility correlations for carbonated naturally fractured reservoirs in Mexico that considers a range of important geological and dynamic aspects.
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This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
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This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
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This paper compares deep transient testing with drillstem testing in a high- and low-permeability gas reservoir, including test-selection implications and best practices.
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This paper proposes a novel approach toward drilling maximum-reservoir-contact wells by integrating automated drilling and geosteering software to control the downhole bottomhole assembly, thereby minimizing the need for human intervention.
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This paper offers an exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the lessons learned from implementation in a smart oil field that uses several types of MPFM.
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The acquisition adds 2.1 Bcf/D of production and pipeline infrastructure in Texas and Louisiana.
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The new assessment also estimates 28.3 Tcf of technically recoverable gas in the Woodford and Barnett shales.
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Operators are turning to new gas-lift and nanoparticle-fluid technologies to drive up production rates.
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The authors of this paper apply a deep-learning model for multivariate forecasting of oil production and carbon-dioxide-sequestration efficiency across a range of water-alternating-gas scenarios using field data from six legacy carbon-dioxide enhanced-oil-recovery projects.