Prediction of pore facies using GMDH-type neural networks: a case study from the South Pars gas field, Persian Gulf basin | ||
| Geopersia | ||
| مقاله 5، دوره 8، شماره 1 - شماره پیاپی 22287825، 2018، صفحه 43-60 اصل مقاله (2.07 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/geope.2017.228906.648302 | ||
| نویسندگان | ||
| Ali Kadkhodaie* 1؛ Ebrahim Sefidari2؛ Behzad Ahmadi3؛ Bahman Ahmadi4؛ Mohammad Ali Faraji2 | ||
| 1Department of Earth Science, Faculty of Natural Science, University of Tabriz,Tabriz, Iran | ||
| 2Department of Geology, University College of Sciences, University of Tehran, Tehran, Iran | ||
| 3Department of Mechanical engineering, Sharif University, Tehran, Iran | ||
| 4Department of Mechanical engineering, University of Guilan, Rasht, Iran | ||
| چکیده | ||
| The current study proposes a two-step approach for pore facies characterization in the carbonate reservoirs with an example from the Kangan and Dalan formations in the South Pars gas field. In the first step, pore facies were determined based on Mercury Injection Capillary Pressure (MICP) data incorporation with the Hierarchical Clustering Analysis (HCA) method. In the next step, polynomial meta-models were established based on the evolved Group Method of Data Handling (GMDH) neural networks for the purpose of pore facies identification from well log responses. In this way, the input data table used for training GMDH-type neural network consists of CALI, GR , CGR , SGR, DT, NPHI, RHOB, PEF, PHIE and VDL logs. The MICP-HCA derived pore facies were considered as the desired outputs. Moreover, multi-objective genetic algorithms (GAs) are used to the evolutionary design of GMDH-type neural networks. Training error and prediction error of neural network have been considered as conflicting objectives for Pareto multi-objective optimization. The results of this study indicate the successful implementation of GMDH neural networks for classification of pore facies in the heterogeneous gas bearing carbonate rocks of South Pars gas field. | ||
| کلیدواژهها | ||
| rock typing؛ MICP curves؛ Clustering؛ Classification؛ South Pars gas field | ||
| مراجع | ||
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