DSDE: In Practice
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The site survey and inspection of an offshore gas platform in UAE waters was executed entirely from an onshore remote operations center without sending personnel offshore.
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The objective of this study was to establish an efficient optimization work flow to improve vertical and areal sweep in a sour-gas injection operation, thereby maximizing recovery under operation constraints.
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This paper introduces a method using a Bayesian network to aggregate trends detected in time-series data with events identified by natural language processing to improve the accuracy and robustness of kick and lost-circulation detection.
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The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
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This study illustrates how a combination of a straddle-packer system and a downhole real-time telemetry successfully stimulated up to 38 stages while maintaining packer-seal integrity and downhole pressure.
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This paper presents an integrated system for fracturing optimization using real-time and historical data along with organizational knowledge and the challenges and key considerations of implementing such a system.
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This paper presents the interpretation of two polymer-injectivity tests performed in two giant light-oil high-salinity/high-temperature carbonate reservoirs onshore Abu Dhabi.
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Whether inconsistent, incomplete, ambiguous, or just plain wrong, bad data is a big barrier to digital transformation.
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This paper describes an intelligent completion design installed in two deepwater wells with dual-zone stack-pack sand-control lower completions and the installation of an intermediate string to isolate the reservoir in each zone.
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This paper describes the building of a geomechanical model for an offshore field that integrated drilling, geology, petrophysics, and reservoir data to play a major role in the drillability and deliverability of the reservoir.
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