The Joint Inversion Of Well-logging Properties From Seismic And Log Data Based On Intelligent Algorithms

This paper puts forward an unconventional method of joint inversion of seismic data and well-logging, the joint inversion of well-logging properties from seismic and log data based on intelligent algorithms for realizing and describing underground strata after studying conventional joint inversion of seismic data and well-logging, which can inverse well-logging properties directly. Fine results have achieved in practice application. The study of this paper has considerable innovation, academic and theory value.In this paper. the main research works and achievement includes following contents :(1) Evolutional algorithm , neural network . fuzzy system and wavelet analysis work and wavelet analysis are compensatory with each other but not competitive. So many new mixed intelligent algorithms have been designed which include evolutionary neural network, neural fuzzy system and wavelet neural network. These new algorithms improved the capability of nonlinear disposing, function approaching, fault-tolerated and self-organizing but also self-learning, wavelet neural network is the best one among them .(2) Putting forward the join inversion of well-logging properties from seismic and log data based on intelligent algorithms. Conventional joint inversion of seismic data and well-logging have many problems such as nonlinear disposing, wavelet problem, model of inversion and reduction and error toleration of data source after studying it in depth. The method of joint inversion of seismic data and well-logging based on intelligent algorithm is built which includes the special merits of intelligent algorithms, thought of data-driven and information fusion. This method broke the basic thought of conventional joint inversion, can inverse well-logging properties directly and has overcome the difficulties of conventional joint inversion, such as can avoid the precondition of requested previous model . settle the problem of nonlinear solution-resolved and avoid the problem of complex variational wavelet.(3 ) Realization and application of the well-logging properties from seismic and log data based on intelligent algorithms . The intelligently joint inversion of seismic data and well-logging based on source data driven and character parameter-driven are realized based on the basic thought of intelligent joint inversion, and are applied in Tahe oil field with one profile successfully. Every path of seismic data can be transformed into well-logging properties, so the profile of seismic data can be transformed into profile of well-logging properties for the aim of realizing and describing the underground strata. The inversed result has high precision and indicates that mixed intelligent algorithm is better than conventional intelligent algorithms. The result become bad when improving the resolution of seismic data for high resolution inversion result, which showed that scarce of information of data can't be compensated with mathematic algorithm and it was no use to aspire after high resolution result of inversion artificially.(4) Using the previous knowledge to restrict the import information of inversion system is a new method to improve inversion effect especially under the complex conditions. This paper discussed the problem of the low-frequency information, and noticed that it is not reasonable under the condition of complex stratum , and the example also approved this . Aiming this, thegeology model of Tahe oil field is built and described in mathematics as an example for restricting the low-frequency information. The result of inversion is much more better.