Works matching DE "GAS well logging"
Results: 17
Method of Predicting Tight Gas Deliverability from Conventional Well Logging Data Based on Experimental Simulation.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2018, v. 43, n. 5, p. 2615, doi. 10.1007/s13369-017-2916-1
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Determination of Total Organic Carbon (TOC) of Chichali Formation through well logs. Case study: Chanda oil & gas fields in KP, Pakistan.
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- Journal of Himalayan Earth Science, 2018, v. 51, n. 1, p. 17
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Characteristics and significance of heterogeneity of sea-land transitional facies shale gas reservoir in North Guizhou, China.
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- Geosciences Journal, 2019, v. 23, n. 1, p. 101, doi. 10.1007/s12303-018-0015-2
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RECOMPLETION OF KTL-5 WELL: AN INVESTIGATION OF EXCESSIVE WATER PRODUCTION.
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- Journal of Nature Science & Sustainable Technology, 2018, v. 12, n. 4, p. 221
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Geological characteristics and main controlling factors of the helium-rich gas reservoirs in Sozak Gas Field, Kazakhstan.
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- Journal of Natural Gas Geoscience (2543-151X), 2024, v. 9, n. 1, p. 13, doi. 10.1016/j.jnggs.2023.12.002
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Geological characteristics and main controlling factors of the helium-rich gas reservoirs in Sozak Gas Field, Kazakhstan.
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- Journal of Natural Gas Geoscience (2543-151X), 2024, v. 9, n. 1, p. 13, doi. 10.1016/j.jnggs.2023.12.002
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New method for prediction of shale gas content in continental shale formation using well logs.
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- Applied Geophysics: Bulletin of Chinese Geophysical Society, 2016, v. 13, n. 2, p. 393, doi. 10.1007/s11770-016-0556-y
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Three-component seismic data in thin interbedded reservoir exploration.
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- Applied Geophysics: Bulletin of Chinese Geophysical Society, 2015, v. 12, n. 1, p. 79, doi. 10.1007/s11770-014-0460-2
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CHARACTERIZATION OF THE HYDROCARBON POTENTIAL AND NON-POTENTIAL ZONES USING WAVELET-BASED FRACTAL ANALYSIS.
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- Fractals, 2018, v. 26, n. 1, p. -1, doi. 10.1142/S0218348X18500019
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沁水盆地南部安泽区块煤体结构测井识别研究.
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- Coal Science & Technology (0253-2336), 2018, v. 46, n. 5, p. 179, doi. 10.13199/j.cnki.cst.2018.05.029
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A study and application of high-resolution methods for reef reservoir identification.
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- Acta Geophysica, 2017, v. 65, n. 5, p. 907, doi. 10.1007/s11600-017-0074-1
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New Relations of Water Saturation's Calculus from Well Logs.
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- Acta Geophysica, 2016, v. 64, n. 5, p. 1542, doi. 10.1515/acgeo-2016-0063
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Seismo-stratigraphic and structural interpretation of seismic data of Titas gas field, Bengal basin, Bangladesh.
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- Journal of the Geological Society of India, 2017, v. 89, n. 4, p. 471, doi. 10.1007/s12594-017-0630-y
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Lithological facies identification in Iranian largest gas field: A comparative study of neural network methods.
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- Journal of the Geological Society of India, 2014, v. 84, n. 3, p. 326, doi. 10.1007/s12594-014-0136-9
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Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs.
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- Sustainability (2071-1050), 2019, v. 11, n. 7, p. 1919, doi. 10.3390/su11071919
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New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network.
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- Neural Computing & Applications, 2018, v. 30, n. 9, p. 2673, doi. 10.1007/s00521-017-2850-x
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Estimation of cementation factor in carbonate reservoir by using genetic fuzzy inference system.
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- Neural Computing & Applications, 2018, v. 30, n. 5, p. 1657, doi. 10.1007/s00521-016-2770-1
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