Porosity Prediction Using Neural Network Based on Seismic Inversion and Seismic Attributes
نویسندگان
چکیده
منابع مشابه
Artificial Intelligence for prediction of porosity from Seismic Attributes: Case study in the Persian Gulf
Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...
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ژورنال
عنوان ژورنال: E3S Web of Conferences
سال: 2019
ISSN: 2267-1242
DOI: 10.1051/e3sconf/201912515006