| Well logging data processing and interpretation system is an essential software tool in the course of processing and interpreting. At present, foreign software is performing the more effective function, but it usually costs too much and makes more requirements for highly qualified hardware. On the contrary, though domestic software does not cost so much, still few research staffs or institutes could afford to buy. And the drawbacks of these two kinds of software such as the outdated development and much emphasis on currency result in the complexity of base data format and the inaptness for purchase in a laboratory. So it is necessary to apply a completely new software developing technique to develop a kind of software system with characteristics of convenience of use, simplicity of base data format, less demand on the hardware. Besides, the system is more likely to be combined with some new way of well logging processing and interpreting and acts actively in the part of verifying the efficiency of new software developing technique. Over a long period of time, the development of the system always follow the stereotype of design in the light of some single enterprise, and each time it starts from scratch, which leads to difficulty in the development, long cycles, high cost, poor scalability, so the reuse almost can not be achieved. Therefore, the extension and application of well logging system is badly impeded. Given the problem discussed above, the author presented the software development model in the well logging domain based on component reuse, and in the study of the component in this domain, taking the example of the plotting curve track component, designed some components according to the division of size and function of the components. In the meantime, analyzed and designed the well logging component repository. And, on the basis of the software development model and the component repository designed, the author also developed the Geowell well logging data processing and interpretation system. The adoption of software developing technique based on component reuse can reduce developing cost and speed up the whole process of developing. It avoids developing software in the well logging domain always from the beginning and functions as the means of decreasing repetitive labor and input. With the optimum method in this domain, it can also provide more visibility of software project schedule, lower software maintenance cost, and give the technical reference for component reuse in the future development of well logging data processing and interpretation system. At last, it offers a new way of developing well logging software in a short period for those laboratories or small well logging technical research institute, and makes new well logging data processing and interpretation technique be widely applied in the way of integrate software. In the process of developing the software of geophysical well logging interpretation system, a great volume of data is involved in plotting. And in the course of plotting, much scale computing, coordinate transformation and coordinate mapping is required. Particularly when plotting huge acoustic and electric imaging logging image which demands continuous scrolling display, there are much more data and computing work. As a result, it may lead to memory insufficiency, speed decreasing of plot refresh, plot overlap and screen flicker etc.. While developing GeoWell of the well logging interpretation system, by using technique of memory mapping file, memory DC plotting and part redrawing, the huge well logging image with mass data can be drawn quickly in high quality, and the plot can be scrolled continuously, which has raised plotting efficiency and offers technical reference for developing the software of complicated well logging plot with mass data in the PC environment. Imaging logging has taken the lead in the technology of well logging in the world of nowadays and it has become the most advanced and effective oil-gas exploring means with its fast development and broad application since 1990s. However, at present, data processing technique of imaging logging, especially the image processing is underdeveloped, which makes the imaging logging data impossible to be fully used. In view of this, the author used the method of wavelet transform to process acoustic and electric logging image on the basis of the study of acoustic and electric image pattern, and proposed a wavelet packet threshold denoising method based on Bayesian estimation, which achieved a better denoising result than that of the traditional Wiener filtering, median filtering and usual wavelet threshold denoising. Because the use of wavelet packet helps to analyze those in both high and low frequency at the same time in a more detailed way. And it takes a better effect in denoising than the common filtering and wavelet transform. In addition, the wavelet threshold based on Bayesian estimation may further avoid denoising errors, since it evaluates the optimization threshold of function concerning the transcendental image information. The author also proposed the method of improved discrete binary wavelet transform based on non-linear adaptive enhancement, compared with the processing results of wavelet linear enhancing...
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