A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field

Research article (Studia Geophysica et Geodaetica, 2015) · cited 58× · AI/ML
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A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field

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A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-general-approach-for-porosity-estimation-using-artificial-neural-network-method-a-case-study-from-kansas-gas-field
MLA “A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-general-approach-for-porosity-estimation-using-artificial-neural-network-method-a-case-study-from-kansas-gas-field.
BibTeX @misc{4ortxyz_a-general-approach-for-porosity-estimation-using-artificial-neural-network-method-a-case-study-from-kansas-gas-field_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field}}, year = {2026}, url = {https://4ort.xyz/entity/a-general-approach-for-porosity-estimation-using-artificial-neural-network-method-a-case-study-from-kansas-gas-field}, note = {Accessed: 2026-05-24}}
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