Statistical analysis of synthetic earthquake catalogs generated by models with various levels of fault zone disorder

The stress release model, a stochastic version of the elastic rebound theory, is applied to the large events from four synthetic earthquake catalogs generated by models with various levels of disorder in distribution of fault zone strength (Ben-Zion, 1996) They include models with uniform properties (U), a Parkfield-type asperity (A), fractal brittle properties (F), and multi-size-scale heterogeneities (M). The results show that the degree of regularity or predictability in the assumed fault properties, based on both the Akaike information criterion and simulations, follows the order U, F, A, and M, which is in good agreement with that obtained by pattern recognition techniques applied to the full set of synthetic data. Data simulated from the best fitting stress release models reproduce, both visually and in distributional terms, the main features of the original catalogs. The differences in character and the quality of prediction between the four cases are shown to be dependent on two main aspects: the parameter controlling the sensitivity to departures from the mean stress level and the frequency-magnitude distribution, which differs substantially between the four cases. In particular, it is shown that the predictability of the data is strongly affected by the form of frequency-magnitude distribution, being greatly reduced if a pure Gutenburg-Richter form is assumed to hold out to high magnitudes.

ETC���具有车型识别功能的车辆检测器设计

介绍了专门用于ETC(不停车收费系统)中一种车辆检测器的软硬件设计方法。根据车辆检测器应用环境的特点给出了基准频率校正算法,可以对基准频率进行实时校正。并采用模糊模式识别算法进行车型识别。

基于匹配追踪方法的地震信号时频分析研究

Seismic signal is a typical non-stationary signal, whose frequency is continuously changing with time and is determined by the bandwidth of seismic source and the absorption characteristic of the media underground. The most interesting target of seismic signal’s processing and explaining is to know about the local frequency’s abrupt changing with the time, since this kind of abrupt changing is indicating the changing of the physical attributes of the media underground. As to the seismic signal’s instantaneous attributes taken from time-frequency domain, the key target is to search a effective, non-negative and fast algorithm time-frequency distribution, and transform the seismic signal into this time-frequency domain to get its instantaneous power spectrum density, and then use the process of weighted adding and average etc. to get the instantaneous attributes of seismic signal. Time-frequency analysis as a powerful tool to deal with time variant non-stationary signal is becoming a hot researching spot of modern signal processing, and also is an important method to make seismic signal’s attributes analysis. This kind of method provides joint distribution message about time domain and frequency domain, and it clearly plots the correlation of signal’s frequency changing with the time. The spectrum decomposition technique makes seismic signal’s resolving rate reach its theoretical level, and by the method of all frequency scanning and imaging the three dimensional seismic data in frequency domain, it improves and promotes the resolving abilities of seismic signal vs. geological abnormal objects. Matching pursuits method is an important way to realize signal’s self-adaptive decomposition. Its main thought is that any signal can be expressed by a series of time-frequency atoms’ linear composition. By decomposition the signal within an over completed library, the time-frequency atoms which stand for the signal itself are selected neatly and self-adaptively according to the signal’s characteristics. This method has excellent sparse decomposition characteristics, and is widely used in signal de-noising, signal coding and pattern recognizing processing and is also adaptive to seismic signal’s decomposition and attributes analysis. This paper takes matching pursuits method as the key research object. As introducing the principle and implementation techniques of matching pursuits method systematically, it researches deeply the pivotal problems of atom type’s selection, the atom dictionary’s discrete, and the most matching atom’s searching algorithm, and at the same time, applying this matching pursuits method into seismic signal’s processing by picking-up correlative instantaneous messages from time-frequency analysis and spectrum decomposition to the seismic signal. Based on the research of the theory and its correlative model examination of the adaptively signal decomposition with matching pursuit method, this paper proposes a fast optimal matching time-frequency atom’s searching algorithm aimed at seismic signal’s decomposition by frequency-dominated pursuit method and this makes the MP method pertinence to seismic signal’s processing. Upon the research of optimal Gabor atom’s fast searching and matching algorithm, this paper proposes global optimal searching method using Simulated Annealing Algorithm, Genetic Algorithm and composed Simulated Annealing and Genetic Algorithm, so as to provide another way to implement fast matching pursuit method. At the same time, aimed at the characteristics of seismic signal, this paper proposes a fast matching atom’s searching algorithm by means of designating the max energy points of complex seismic signal, searching for the most optimal atom in the neighbor area of these points according to its instantaneous frequency and instantaneous phase, and this promotes the calculating efficiency of seismic signal’s matching pursuit algorithm. According to these methods proposed above, this paper implements them by programmed calculation, compares them with some open algorithm and proves this paper’s conclusions. It also testifies the active results of various methods by the processing of actual signals. The problems need to be solved further and the aftertime researching targets are as follows: continuously seeking for more efficient fast matching pursuit algorithm and expanding its application range, and also study the actual usage of matching pursuit method.

复杂断块油藏形成机制及剩余油预测

The central uplift in the Huimin depression is famous for its large amounts of faults and small-scale fault-block area, and it is the famed typical complicated fault-block group oil & gas field in the whole world. After many years of rolling exploration and exploitation, many complex oil &gas field have been discovered in the central uplift, and won the splendent fruit. With the gradual deepening and development of the rolling exploitation, the exploration faces more and more difficulties. Therefore, it is important to reveal the forming mechanism and distributing rule of the complex fault-block reservoir, and to realize the forecast of the complex fault-block reservoir, sequentially, expedite the exploration step. This article applies the new multi-subject theory, method and technique such as structure geometry, kinematics, dynamics, structural stress field, fluid potential field, well logging record and constrained inversion of seismic records, coherence analysis, the seal mold and seal history of oil-bounded fault etc, and try to reveal the forming mechanism and distributing law of the complex fault-block reservoir, in result, implements the forecast of the fault-block reservoir and the remaining oil distributing. In order to do so, this article synthetically carries out structural estimate, reservoir estimate, fault sealing history estimate, oil-bearing properties estimate and residual. This article also synthetically researches, describes and forecast the complex fault-block in Huimin depression by use of the techniques, e.g. seismetic data post-stack processing technique, multi-component demarcating technique, elaborate description technique for the fault-block structure, technique of layer forecasting, fault sealing analysis technique, comprehensive estimate technique of fault-block, comprehensive analysis and estimate technique of remaining oil etc. The activities of the faults varies dramatically in the Huimin depression, and most of the second-class and the third-class faults are contemporaneous faults, which control the macroscopical distribution of the reservoir in the Huimin depression. The fourth-class faults cause the complication between the oil & gas among the fault-blocks. The multi-period strong activities of the Linyi fracture resulted in the vertical migration of large amount of oil & gas along with the faults. This is the main reason for the long vertical distribution properties near the Linyi fracture in the Huimin depression. The sealing ability of the fault is controlled by the property,size and direction of the main stress, the contact relationship of the both sides of the fault, the shale polluting factor, and the configuration relationship between the fault move period and the migration period of oil & gas. The article suggest four fault-sealing modes in the research zone for the first time, which establishes the foundation for the further forecast of the complex fault-block reservoir. Numerical simulation of the structural stress field reveals the distribution law and the evolvement progress of the three-period stress field from the end of the Dongying period to the Guantao period to nowadays. This article puts forward that the Linyi and Shanghe regions are the low value of the maximum main stress data. This is combined with the fault sealing history estimate, then multi-forming-reservoir in the central uplift is put forward. In the Shanghe oilfield, the article establishes six reservoir geological modes and three remaining oil distributing modes(the plane, the inside layer and the interlayer), then puts forward six increase production measure to enhance the remaining oil recovery ratio. Inducting the exploitation of oilfield, it wins notable economic effects and social effects.