Title: Quantitative evaluation methods of traps based on hydrocarbon pool-forming process simulation
Authors: Jiansi Ren; C.L. Wu; Xing Mu; Guifang Dou
Addresses: School of Computer, China University of Geosciences, Wuhan 430074, China. ' School of Computer, China University of Geosciences Wuhan 430074, China; State Key Laboratory of Geological Processes and Mineral Resources, Wuhan 430074, China. ' Geological Research Institute, Shengli Oil Company, China Petroleum and Chemical Corporation (SINOPEC), Dongying, Shandong Province 257000, China. ' School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China
Abstract: In order to enhance the accuracy and reliability of evaluation of hydrocarbon traps, the authors have tried methods of quantitative evaluation of traps based on hydrocarbon pool-forming process simulation. The key points are: firstly, all the analyses are based on 3-dimensional dynamic simulation of hydrocarbon pool-forming process. The rationality of evolution of the trap characteristics can be constrained through dynamic simulation and evaluation of trap evolution based on automatic identification and parameter extraction of single hydrocarbon trap accumulation zone. Secondly, various algorithms are adopted for analysing the possibility of the existence of oil and gas reservoirs, such as artificial neural networks. Simulation test indicate that a proven region with higher levels of exploration and the trap location and resource quantity are close to the actual exploration results. Experiment result shows that the proposed design can not only automatically search for hydrocarbon accumulations, but also more accuracy can be achieved in distinguishing the boundary and types of traps and in getting resource quantity of traps. [Received: March 16, 2011; Accepted: December 01, 2011]
Keywords: hydrocarbon pool forming; process simulation; quantitative evaluation; hydrocarbon traps; geological evaluation; artificial neural networks; ANNs; petroleum systems; oil and gas industry; pool forming simulation; 3D simulation; dynamic simulation; dynamic modelling; oil reservoirs; gas reservoirs.
International Journal of Oil, Gas and Coal Technology, 2013 Vol.6 No.1/2, pp.175 - 190
Published online: 29 Jan 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article