Abstract: Formation mechanism of high-angle reverse faults has always been one of the questions concerning structural geologists. The mechanics of high-angle reverse faults does not conform to the Mohr-Coulomb criterion or Anderson’s theory of faulting. Geologists tried to explain the formation mechanism of high-angle reverse faults by inversion structure theory, Maximum Effective Moment Criterion and fault-valve model and so on. It is hard to explain the mechanism of high-angle reverse faults in Sanan oilfield with these viewpoints. It is considered that the cause of formation of such high-angle reverse faults was that the dip direction of normal fault plane has been overturned by the intensive superposed folding and interlayer gliding. “Overturned fault dip” can be regarded as a new type of inversion structure and supplements the existing types of inversion structure.
Abstract: Sanan oilfield has entered late stage of high water cut development. It urgently needs accurate prediction of remaining oil distribution. But previous studies on 3D structure were far could not meet the requirements of fine reservoir description. This paper applied RMS, a piece of excellent geological modeling software establishing the 3D fine structural model of typical block in Sanan oilfield on the bases of 3D fine seismic structural interpretation data. It included the 28 faults’ model, 11 horizons’ model and the structural model. And then measured and analyzed the faults elements data. Based on abundant geologic data, well data and seismic data of the block, this structural model reproduced the fine seismic interpretation results accurately. It was really fine enough to meet the requirements of the fine reservoir description. This research solved the problem that traditional modeling techniques could not handle complex cutting relationship of faults’ model. It laid a solid foundation for reservoir numerical simulation and remaining oil distribution prediction.
Abstract: In this paper, for the re-concentration of sliming molybdenum Tailings in Henan Province, a multi-parameter test is carried out using orthogonal method in the column flotation system with the ultrasonic pre-treatment. Two groups’ optimum parameters of ultrasonic pre-treatment are acquired through the analysis of orthogonal test results. In addition,those two groups parameters are selected to verify the test results. Furthermore, the impact of ultrasonic pre-treatment on the floatability of mineral are defined by comparison tests. All the tests show that ultrasonic pre-treatment promotes the flotation of sliming molybdenum tailings..
Abstract: The tight sand in the layer 7 of YanChang Formation, Ordos Basin major develops braided river delta and gravity flow deposits. In this paper, based on previous studies on lake pelvic shape, provenance and hydrodynamic, the sand body in the research area has been systematically studied through core observation, logging data, and sedimentary theory. Various genetic types of sedimentary sand body are developed in this area, mainly as delta deposition, sandy debris flow deposits, turbidites (classic turbidites). We can identify 6 kinds of sand vertical combination type, they are the superimposed sand body (A-type), thick and uniform thickness sand body (B type), thin and uniform thickness sand body (C-type), up thinning sand body (D-type), thickening up sand body (E-type) , thick and thin interbed sand body (F-type). The 6 types mainly controlled by sedimentary facies. The A-type sand body mainly developed in the delta depositional environment, the B type sand body is visible both in the delta and slope belt, while the D-type, E-type, F-type sand body are mainly developed in the deep lake. The distribution of sand body in the plane is zonal pattern.
Abstract: Based on the fault activity, geochemical data and predecessor research results on tectonic subsidence and source rock of Bohai Sea Area, this paper took Bohai Sea Area as an example to compare its structural activity factors with its source rock indexes, and then to explore fault activity’s controlling effect on source rock. And the results shows: source rock thickness is mainly controlled by fault throw of boundary fault, but it is also be influenced by others factors in different stages; Fault activity rate, climatic conditions etc. factors are all key factors influencing organic matter percentage in source rock. And the key factors may change in different stages; Present organic matter maturities in different source rock are controlled by their present tectonic subsidence. And the bigger the tectonic subsidence, the higher the maturity; Source rock qualities on different structural belts are influenced by their distances away from the boundary fault, and the closer, the better. But quality on central uplift belt is worse than that on sub-sag belt flank.
Abstract: Chengdao area is a multiple hydrocarbon accumulation belt with the typical tectonic background, and its main target stratum is Neogene. However, the exploration and recognition level of Minghuazhen Formation is still at the primary stage. Based on the comprehensive analysis of seismic, well-logging, logging and geochemical data, and combined with its structural characteristics, intensity of fault activity and reservoir-caprock assemblage, this paper systematically analyzed the dominant factors of hydrocarbon accumulation in Minghuazhen Formation, and clarified that the tectonic setting controlled where the hydrocarbon enriched, intensity of fault activity influenced how much of hydrocarbon enriched and the reservoir-seal assemblage dominated hydrocarbon accumulation strata. Then two types of hydrocarbon accumulation models, that is, main fault-sand body and main fault-secondary fault–sand body were established.
Abstract: Study on abnormal pressure of sedimentary basin is of great significance. According to the ultrasonic time difference method and measured practical data, some sectional and planar pressure distribution of Zhanhua Sag are obtained while most belong to overpressure, and the pressure distribution and the formation mechanism of high pressure are also analyzed. It is showed that the pore fluid pressure of Es3 and the upper part of Es4 members are higher in Bonan subsag and Gubei subsag and the distribution of abnormal high pressure reached a maximum at the early Es3. The disequilibrium compaction, hydrocarbon generation and some clay mineral dehydration are suggested to contribute to the formation of normal high pressure, including the rapid deposition as one of the most key factor. The lower part of Es3 and Es4 themselves within the deep high pressure system, as good lithologic reservoirs, can transport oil to the upper formation by episodic release to form allochthonous atmospheric hydrocarbon reservoirs.
Abstract: Due to the complex features of rock burst hazard assessment systems, a support vector machine (SVM) model for predicting of classification of rock burst was established based on the SVM theory and the actual characteristics of the project in this study. The main factors of rock burst, such as coal seam, dip, buried depth, structure situation, change of pitch angle, change of coal thickness, gas concentration, roof management, pressure relief and shooting were defined as the criterion indices for rock burst prediction in the proposed model. In order to determine reasonable and efficient the parameters of SVM, Firstly, the appropriate fitness function for genetic algorithms (GA) operation was determined, and then optimization parameters of SVM model were selected by real coded GA, therefore, the genetic algorithms and support vector machine (GSVM) model was established. A GSVM model was obtained through training 23 sets of measured data, the cross-validation method was introduced to verify the stability of GSVM model and the ratio of mis-discrimination is 0. Moreover, the proposed model was used to predict 12 new samples rock burst, the correct rate of prediction results is 91.6667% and are identical with actual situation. The results show that the genetic algorithm can speed up SVM parameter optimization search, the proposed model has a high credibility in the study of rock burst prediction of risk classification, which can be applied to practical engineering.
Abstract: There are many uncertainty understanding on BZ13-1 oilfield, because of large area and less drilling wells and times. It belongs to critical reservoir between volatile reservoir and gas condensate reservoir. The dynamic law of BZ13-1 was obtained by the combine of dynamic history matching and reservoir engineering analysis method, situation analysis, reservoir connectivity analysis and gas-oil ratio variation studies. Also, different kinds of developing methods and influence factors were simulated and corresponding optimization suggestions to the development of the field were made.
Abstract: The correlation between operation parameters including coup de fouet and SOH was analyzed to choose the input parameters of the battery SOH estimation model, and then the battery SOH estimation model was made based on least square support vector machine (LSSVM). For more prediction accuracy and efficiency, the advanced particle swarm optimization (WCPSO) is used to optimize the parameters of the LS-SVM regression model. The battery SOH was estimated only with measured data (plateau voltage, discharge rate and temperature) of short time discharge, so it is efficient. The verification result shows that the WCPSO-LSSVM model can be used to predict the battery SOH, and the precision is above 93%.