Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence

Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence

Bibliographic Details
Main Authors:	Ahmed Farid Ibrahim, Salaheldin Elkatatny, Mustafa Al Ramadan
Format:	Article
Language:	English
Published:	American Chemical Society 2022-01-01
Series:	ACS Omega
Online Access:	https://doi.org/10.1021/acsomega.1c04416

Similar Items

Change of water saturation in tight sandstone gas reservoirs near wellbores
by: Hongyu Ma, et al.
Published: (2018-12-01)

Role of Rock Saturation Condition on Rock–Mud Interaction: Sandstone Geomechanics Study
by: Hany Gamal, et al.
Published: (2022-09-01)

Study of the Effect of Movable Water Saturation on Gas Production in Tight Sandstone Gas Reservoirs
by: Jie Zhang, et al.
Published: (2020-09-01)

Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks
by: Ahmed Abdulhamid Mahmoud, et al.
Published: (2019-06-01)

Improvement of water saturation estimation from well logs in tight sandstone formations /
by: Morteza Amiri, 1978-, et al.
Published: (2014)

Improvement of water saturation estimation from well logs in tight sandstone formations [electronic resource] /
by: Morteza Amiri, 1978-, et al.
Published: (2014)

Saturation Height Modelling for Tight Sandstone Reservoirs with Gas Diffusion Dynamics Taken into Account
by: Zhou Lyu, et al.
Published: (2023-01-01)

Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models
by: Salaheldin Elkatatny
Published: (2020-06-01)

Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation during Horizontal Drilling
by: Hany Gamal, et al.
Published: (2020-05-01)

Development of new correlations for the oil formation volume factor in oil reservoirs using artificial intelligent white box technique
by: Salaheldin Elkatatny, et al.
Published: (2018-06-01)

Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques
by: Khaled Al-Azani, et al.
Published: (2019-04-01)

Estimation of tensile and uniaxial compressive strength of carbonate rocks from well-logging data: artificial intelligence approach
by: Ahmed Farid Ibrahim, et al.
Published: (2023-10-01)

Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models
by: Ahmed Abdulhamid Mahmoud, et al.
Published: (2023-04-01)

Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic Moduli
by: Hany Gamal, et al.
Published: (2020-12-01)

Study on the evaluation method and application of logging irreducible water saturation in tight sandstone reservoirs
by: Tan Lihong, et al.
Published: (2022-10-01)

Effect of Different Weighting Agents on Drilling Fluids and Filter Cake Properties in Sandstone Formations
by: Badr S. Bageri, et al.
Published: (2021-06-01)

Reducing predictive uncertainty in log-derived water saturation models in a giant tight shaly sandstones - a case study from Mesaverde tight gas reservoir
by: Amiri, Morteza, et al.
Published: (2015)

Applications of Different Classification Machine Learning Techniques to Predict Formation Tops and Lithology While Drilling
by: Ahmed Farid Ibrahim, et al.
Published: (2023-10-01)

Improving the filtration properties for manganese tetroxide mud utilizing perlite particles to drill wide-range permeability sandstone formation
by: Jaber B. Al Jaberi, et al.
Published: (2022-11-01)

Water saturation estimation in tight shaly gas sandstones by application of Progressive Quasi-Static (PQS) algorithm - a case study
by: Amiri, Morteza, et al.
Published: (2015)

Dynamic Variation of Water Saturation and Its Effect on Aqueous Phase Trapping Damage During Tight Sandstone Gas Well Production
by: Juan Miao, et al.
Published: (2021-02-01)

Saturation evaluation of tight sandstone in the Dayi structure, West Sichuan Depression
by: Yuhao Guo, et al.
Published: (2023-07-01)

Estimation of Oil Recovery Factor for Water Drive Sandy Reservoirs through Applications of Artificial Intelligence
by: Ahmed Abdulhamid Mahmoud, et al.
Published: (2019-09-01)

Physical simulation on gas percolation in tight sandstones
by: Yong HU, et al.
Published: (2013-10-01)

Formation condition of deep gas reservoirs in tight sandstones in Kuqa Foreland Basin
by: Xuesong Lu, et al.
Published: (2018-12-01)

Estimation of rocks’ failure parameters from drilling data by using artificial neural network
by: Osama Siddig, et al.
Published: (2023-02-01)

Laws of gas and water flow and mechanism of reservoir drying in tight sandstone gas reservoirs
by: Yulong Zhao, et al.
Published: (2021-04-01)

Introducing new method to improve log derived saturation estimation in tight shaly sandstones-a case study from mesaverde tight gas reservoir
by: Amiri, Morteza, et al.
Published: (2012)

Development status and prospect of tight sandstone gas in China
by: Ailin Jia, et al.
Published: (2022-10-01)

The role of overbalance pressure on mud induced alteration of sandstone rock pore system
by: Hany Gamal, et al.
Published: (2022-05-01)

Data-driven models to predict shale wettability for CO2 sequestration applications
by: Ahmed Farid Ibrahim, et al.
Published: (2023-06-01)

Relation of Heterogeneity and Gas-Bearing Capacity of Tight Sandstone: A Case Study of the Upper Paleozoic Tight Gas Sandstone Reservoir in the Southeast of the Ordos Basin
by: Yande Zhao, et al.
Published: (2021-06-01)

Data-Driven Framework to Predict the Rheological Properties of CaCl<sub>2</sub> Brine-Based Drill-in Fluid Using Artificial Neural Network
by: Ahmed Gowida, et al.
Published: (2019-05-01)

Formation mechanism of the upper Paleozoic tight sandstone gas reservoir in the Daniudi gas field, Ordos Basin, China
by: Fan Song, et al.
Published: (2024-01-01)

Research on optimal production distribution of tight sandstone gas reservoir
by: Jie He, et al.
Published: (2021-11-01)

Varying law of water saturation in the depletion-drive development of sandstone gas reservoirs
by: Yong HU, et al.
Published: (2014-12-01)

Retraction Note: Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
by: Ahmed Farid Ibrahim, et al.
Published: (2023-06-01)

RETRACTED ARTICLE: Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
by: Ahmed Farid Ibrahim, et al.
Published: (2023-01-01)

Accumulation mechanism of tight sandstone gas in low gas generation intensity area
by: Fudong Zhang, et al.
Published: (2017-04-01)

The experimental modeling of gas percolation mechanisms in a coal-measure tight sandstone reservoir: A case study on the coal-measure tight sandstone gas in the Upper Triassic Xujiahe Formation, Sichuan Basin, China
by: Shizhen Tao, et al.
Published: (2016-12-01)