Reservoir Prediction From Well Logs And Seismic Multi-attribute Analysis, Methodology And Application

Fast and accurate evaluating the new reservoir and putting it into development is an important segment in oilfield exploration and development, and reservoirprediction technology is a key of reservoir evaluation. The meaning of thisdissertation lies in, tracing the advanced technology in well logging and seismic multi-attribute analysis at home and abroad, investigating the reservoir prediction methods, establishing the fast and effective reservoir prediction technical process andputting it into the reservoir evaluation and prediction work very well. The study thought of this dissertation is follows, firstly, grasping the present status and developing trend of the study and application of this technology at home and abroad, secondly, in accordance with the methodology theory, forming the reservoir prediction technical thought basically, using seismic multi-attribute technical methods, establish the reasonable reservoir prediction technical process; in the samewhile, set up the rational interpretation model by combining the actual field data during the studying course, finally, verify the rationality of the technical process and the adaptability of the model with the real field data information, and optimize thereservoir prediction method by processing the real field data. After more than one year's study, the analysis on a mount of documents about well logging, seismic multi-attribute and reservoir evaluation, etc, have been finished, proposed the primary concept and technical thought of reservoir prediction methodology, determined the critical technology and analysis method of reservoirprediction by combining organically with major discipline such as seismic and well logging: taking core analysis technology as the foundation, carry out the accurate well logging interpretation, determine the primary parameters and geology rules for reservoir study, then, extract the seismic attribution, predict the lithologic characters, petrophysical properties and oil or gas-bearing prediction by using the technologies including linear and nonlinear inversion, frequency division technology, AVOtechnology, multi-attribute analysis. Under the guide of methodology, we haveestablished well logging interpretation models, traced the most innovated seismic attribution analysis technology in the world, and set up the multi-discipline syntheticreservoir prediction technical process on the basis of well logging—seismic multi-attribute analysis. The target industrial district selected by this study is the Linjiang Area of Wangfu Structure in the southwest of Daqing Oilfield, by practically processing the well logging and seismic data, the new interpretation model was put into effectiveapplication, and the newly established reservoir prediction technical process was verified effectively. The innovative points of this dissertation are as follows: 1 Introduced the basic concept about the methodology of reservoir prediction; 2 Primarily established technical thought and working process of reservoirprediction method on the basis of well logging--seismic data processing and interpretation, i.e.: a new method of "five stage "reservoir prediction in which the credible and accuracy of prediction was promoted.