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Performance Drivers in Restimulation of Gas-Storage Wells

SPE reservoir evaluation & engineering, 2001-12, Vol.4 (6), p.536-542

2001

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Using artificial neural networks to generate synthetic well logs

Journal of natural gas science and engineering, 2009-11, Vol.1 (4), p.118-133

2009

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Design optimum frac jobs using virtual intelligence techniques

Computers & geosciences, 2000-10, Vol.26 (8), p.927-939

2000

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Petroleum reservoir characterization with the aid of artificial neural networks

Journal of petroleum science & engineering, 1996-12, Vol.16 (4), p.263-274

1996

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Use of intelligent systems in reservoir characterization via synthetic magnetic resonance logs: Soft computing and earth sciences

Journal of petroleum science & engineering, 2001, Vol.29 (3-4), p.189-204

2001

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Use of intelligent systems in reservoir characterization via synthetic magnetic resonance logs

Journal of petroleum science & engineering, 2001-05, Vol.29 (3), p.189-204

2001

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Intelligent systems application in candidate selection and treatment of gas storage wells

Journal of petroleum science & engineering, 2001-11, Vol.31 (2), p.125-133

2001

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Hydraulic fracture design and optimization of gas storage wells

Journal of petroleum science & engineering, 1999-10, Vol.23 (3), p.161-171

1999

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Determining in-situ stress profiles of hydrocarbon reservoirs from geophysical well logs using intelligent systems

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004, Vol.3, p.2431-2436 vol.3

2004

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Predicting Well-Stimulation Results in a Gas-Storage Field in the Absence of Reservoir Data With Neural Networks

SPE reservoir engineering, 1996-11, Vol.11 (4), p.268-272

1996

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The Duckbot: A system for automated imaging and manipulation of duckweed

PloS one, 2024-01, Vol.19 (1), p.e0296717-e0296717

2024

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Techniques To Determine Natural and Induced Fracture Relationships in Devonian Shale

Journal of petroleum technology, 1982-06, Vol.34 (6), p.1371-1377

1982

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Capillary density and caliber as assessed by optical coherence tomography angiography may be significant predictors of diabetic retinopathy severity

PloS one, 2022-01, Vol.17 (1), p.e0262996-e0262996

2022

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Uncommon Presentation of Gastric Trichobezoar: A Case Report

Iranian journal of public health, 2015-07, Vol.44 (7), p.1008-1011

2015

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Neurotrauma: In Multiple-Choice Questions

1, 2022

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Capillary density and caliber as assessed by optical coherence tomography angiography may be significant predictors of diabetic retinopathy severity

PloS one, 2022-01, Vol.17 (1), p.e0262996

2022

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Performance Drivers in Restimulation of Gas-Storage Wells

Using artificial neural networks to generate synthetic well logs

Design optimum frac jobs using virtual intelligence techniques

Petroleum reservoir characterization with the aid of artificial neural networks

Use of intelligent systems in reservoir characterization via synthetic magnetic resonance logs: Soft computing and earth sciences

Use of intelligent systems in reservoir characterization via synthetic magnetic resonance logs

Intelligent systems application in candidate selection and treatment of gas storage wells

Hydraulic fracture design and optimization of gas storage wells

Determining in-situ stress profiles of hydrocarbon reservoirs from geophysical well logs using intelligent systems

Predicting Well-Stimulation Results in a Gas-Storage Field in the Absence of Reservoir Data With Neural Networks

The Duckbot: A system for automated imaging and manipulation of duckweed

Techniques To Determine Natural and Induced Fracture Relationships in Devonian Shale

Capillary density and caliber as assessed by optical coherence tomography angiography may be significant predictors of diabetic retinopathy severity

2024 ESC Guidelines for the management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS)

Uncommon Presentation of Gastric Trichobezoar: A Case Report

Neurotrauma: In Multiple-Choice Questions

Capillary density and caliber as assessed by optical coherence tomography angiography may be significant predictors of diabetic retinopathy severity

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