Font Size: a A A

Oil Reservoir Parameter Prediction Based On The BP Neural Network

Posted on:2006-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:L M MaFull Text:PDF
GTID:2178360185466652Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Reservoir parameter of oil predict exactly is both one of the critical link of improving the effect of exploration and offering important basic data for the disposition and planning of development. Especially in the medium-late period of water-injection development oil field, the content of water of production in oil well is more and more high, so knowing exactly the situation of the undergrad oil-gas-water bed is very necessary. The civil well log company get the suit rate of artificial interpretation for oil-gas bed is though very high, it mainly depended on the rich experience of engineers, and it is very disadvantageous for the popularization of the prediction of oil reservoir parameter.This title based on the present prediction study and evaluation technique, through the analysis of parameter in different reservoir, taking out the characteristic parameter of well log cove, and use neural network to predict reservoir, it is believed that the suit rate of oil reservoir parameter prediction with computer will get a good improvement. The research of this title, for the exploration and development of oil field and oil pool, for stabilizing oil and controlling water, and for the high productivity and stable production of oil field, will have a very important guiding meaning.Basing on the mentioned objective above, this paper has analyzed characteristics of many methods of reservoir prediction in the petroleum prospecting and their shortcomings in the practical geology problem of resolution. This paper has set up a platform of parameter nonlinear study and parameter estimate to reservoir by means of the technology of neutral network , prediction of reservoir on the foundation of large numbers researches so as to provide more accurate geology conclusion and exploration deployment scheme in practical application .Besides, concrete example analysis has been made on this technology aiming at different types of oil-bearing reservoir prediction. Sum up the characteristic of this technology, this paper point out its further direction in development.Utilization of this method has transcended many traditional methods of reservoir research in many aspects, and possessing many outstanding technology superiority, which are showed below:(1)It takes new technology thought-"date-driven" law, as the guidance, and inherits and synthesizes forefathers successful technology formed in many years.(2)It directly calculates the well logging parameter by way of the position...
Keywords/Search Tags:reservoir prediction, neural network, Levenberg-Marquardt method
PDF Full Text Request
Related items