A committee machine with intelligent systems for estimation of total organic carbon content from petrophysical data: An example from Kangan and Dalan reservoirs in South Pars Gas Field, Iran

• Published in: Computers & geosciences Vol. 35; no. 3; pp. 459 - 474
• Main Authors: Kadkhodaie-Ilkhchi, Ali, Rahimpour-Bonab, Hossain, Rezaee, Mohammadreza
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.03.2009; Elsevier
• Subjects: Committee machine; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fuzzy logic; Genetic algorithm; Hydrocarbons; Neural network; Neuro-fuzzy; Petrophysical data; Sedimentary rocks; South Pars Gas Field; Stratigraphy; Total organic carbon; Middle East; Iran; Asia; Fuzzy logic; Petrophysical data; Genetic algorithm; Committee machine; Total organic carbon; Neural network; Neuro-fuzzy; South Pars Gas Field; reservoir rocks; Mesozoic; algorithms; Permian; reliability; neural networks; reservoirs; case studies; Rock-Eval; Upper Permian; Triassic; pyrolysis; Lower Triassic; organic carbon; computers; models; fuzzy sets; density; hydrocarbons; porosity; testing; fuzzy logic; data processing; Paleozoic; natural gas; oil and gas fields; upper Paleozoic; prediction; Phanerozoic

Total organic carbon (TOC) content present in reservoir rocks is one of the important parameters, which could be used for evaluation of residual production potential and geochemical characterization of hydrocarbon-bearing units. In general, organic-rich rocks are characterized by higher porosity, hi...