Reservoir
This paper discusses waterflooding and field-development implications of subsea seawater treatment for improved oil recovery.
This paper presents laboratory-testing methods and evaluation criteria designed to improve understanding of both the origin and extent of formation damage associated with CO2 injection.
This paper details the design and implementation of a subsea multiphase pump solution deployed in the Atlanta field designed to maximize reuse of existing subsea and topside equipment.
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The deal comes only weeks after the private equity firm purchased a natural gas-fired plant operator. -
India’s state oil company is accepting proposals from potential technical service partners until 15 September for EOR projects in the Arabian Sea.
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The SPE IOR-EOR Terminology Review Committee has opened a period for public comments on a draft technical report.
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Based on 6 years of firsthand experience, refrac experts share some of their biggest insights into where the US market is headed and how to identify the best candidates.
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The new frontier of production improvement combines surveillance techniques and analysis to determine which variables boost output.
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The KRI has become a significant player in the oil and gas industry. The authors use production data from key fields to explore the factors influencing both individual fields and overall production. An overview of the challenges and milestones in the region’s oil and gas sector from 2014 to 2023 enhances understanding of its evolution, current status, and future oppor…
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This paper describes a data-driven approach for liquid-loading detection and prediction that harnesses high-frequency gas-rate and tubinghead-pressure measurements to identify the onset of liquid loading and correct critical rates computed by empirical methods.
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This study compares seven imputation techniques for predicting missing core-measured horizontal and vertical permeability and porosity data in two wells drilled in the North Rumaila oil field in southern Iraq.
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This paper describes an approach that combines rock typing and machine-learning neural-network techniques to predict the permeability of heterogeneous carbonate formations accurately.
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This study describes the performance of machine-learning models generated by the self-organizing-map technique to predict electrical rock properties in the Saman field in northern Colombia.
