Quantitative evaluation methods of traps based on hydrocarbon pool-forming process simulation. (1st January 2013)

• Record Type: Journal Article
• Authors: Ren, Jiansi; Wu, C.L.; Mu, Xing; Dou, Guifang
• Is Part Of: International journal of oil, gas and coal technology. Volume 6:Number 1/2(2013)
• Page Start: 175
• Page End: 190
• Publication Date: 2013-01-01
• Subjects: hydrocarbon pool-forming process simulation -- quantitative evaluation of trap -- geological evaluation -- artificial neural network -- simulation of petroleum system; Petroleum as fuel -- Periodicals; Gas as fuel -- Periodicals; Coal -- Periodicals; Biomass energy -- Periodicals; Hydrogen as fuel -- Periodicals; 662.6
• Languages: English
• ISSNs: 1753-3309

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.