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fracture identification and evaluation using conventional logs in tight sandstones:A case study in the Ordos Basin,China

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Energy Geoscience 2020年第3期1卷 115-123页

作者： Shaoqun Dong Lianbo Zeng Wenya Lyu Dongling Xia Guoping Liu Yue Wu Xiangyi Du State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing102249China College of Science China University of PetroleumBeijing102249China College of Geoscience China University of PetroleumBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing100083China

fractures are of great significance to tight oil and gas *** identification using conventional well logs is a feasible way to locate the underground fractures in tight ***,there are three problems affecting its interpretation accuracy and practical application,namely weak well log responses of fractures,a lack of specific logs for fracture prediction,and relative change omission in log *** overcome these problems and improve fracture identification accuracy,a fracture indicating parameter(FIP)method composed of a comprehensive index method(CIM)and a comprehensive fractal method(CFM)is *** CIM tries to handle the first problem by amplifying log responses of *** CFM addresses the third one using fractal *** flexible weight parameters corresponding to logs in the CIM and CFM make the interpretation possible for wells lacking specific *** reconstructed logs in the CIM and CFM try to solve the second *** is noted that the FIP method can calculate the probability of fracture development at a certain depth,but cannot show the fracture development degree of a new well compared with other *** this study,a formation fracture intensity(FFI)method is also introduced to further evaluate fracture development combined with production *** test the validity of the FIP and FFI methods,fracture identification experiments are implemented in a tight reservoir in the Ordos *** results are consistent with the data of rock core observation and production,indicating the proposed methods are effective for fracture identification and evaluation.

关键词： fracture identification fracture evaluation Conventional well log Tight sandstone Ordos basin

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fracture identification of carbonate reservoirs by deep forest model:An example from the D oilfield in Zagros Basin

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Energy Geoscience 2024年第3期5卷 339-350页

作者： Chunqiu Ji Shaoqun Dong Lianbo Zeng Yuanyuan Liu Jingru Hao Ziyi Yang National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Geosciences China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum(Beijing)Beijing102249China

Identifying fractures along a well trajectory is of immense significance in determining the subsurface fracture network ***,conventional logs exhibit responses in fracture zones,and almost all wells have such ***,detecting fractures through logging responses can be challenging since the log response intensity is weak and *** address this problem,we propose a deep learning model for fracture identification using deep forest,which is based on a cascade structure comprising multi-layer random *** forest can extract complex nonlinear features of fractures in conventional logs through ensemble learning and deep *** proposed approach is tested using a dataset from the Oligocene to Miocene tight carbonate reservoirs in D oilfield,Zagros Basin,Middle East,and eight logs are selected to construct the fracture identification model based on sensitivity analysis of logging curves against *** log package includes the gamma-ray,caliper,density,compensated neutron,acoustic transit time,and shallow,deep,and flushed zone resistivity *** have shown that the deep forest obtains high recall and accuracy(>92%).In a blind well test,results from the deep forest learning model have a good correlation with fracture observation from *** to the random forest method,a widely used ensemble learning method,the proposed deep forest model improves accuracy by approximately 4.6%.

关键词： fracture identification Conventional log Deep forest Deep learning Tight carbonate reservoir

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A study of wavelet transforms applied for fracture identification and fracture density evaluation

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Applied Geophysics 2011年第2期8卷 164-169,178,179页

作者：张晓峰潘保芝王飞韩雪吉林大学地球探测科学与技术学院吉林长春130026

Combining wavelet transforms with conventional log differential curves is used to identify fractured sections is a new *** this paper,we first compute the mother wavelet transform of conventional logs and the wavelet decomposed signals are compared with fractures identified from image logs to determine the fracture-matched mother *** the mother wavelet-based decomposed signal combined with the differential curves of conventional well logs create a fracture indicator curve,identifying the fractured *** the fracture density can be precisely evaluated by the linear relationship of the indicator curve and image log fracture *** method has been successfully used to evaluate igneous reservoir fractures in the southern Songnan basin and the calculated density from the indicator curve and density from image logs are both basically consistent.

关键词： Wavelet transform fracture identification differential curves fracture density

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Comparative analysis of fracture identification methods based on gravity anomaly in Heilongjiang

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Global Geology 2015年第2期18卷 134-139页

作者： CHANG Chang YANG Changbao WU Yangang CHEN Jingyi College of Geo-Exploration Science and Technology Jilin University College of Engineering and Natural Sciences University of Tulsa

The identification of fractures is of great importance in gravity and magnetic data processing and *** this study,four fracture identification methods are applied,and widely used in processing and analysis of the gravity anomaly,including vertical second derivative method,tilt derivative method,theta map method and normalized differential method,for gravity data acquired in a given area in *** comparing the distribution of the zero contour or maximum contour,we summarize the application effects,and both advantages and disadvantages of each *** is found that tilt derivative method and normalized differential method provide better effects than other two methods:the narrower anomaly gradient belt and higher identification precision of fracture or geological *** inferred fractures and geological boundaries have a great match with the results obtained from geologic map and remote sensing data *** study results have definitely provided the theoretical foundation for identifying faults and the geological boundaries.

关键词： gravity anomaly fracture identification Heilongjiang

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Identifying the real fracture hidden in rock microcrack zone by acoustic emission energy

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International Journal of Mining Science and Technology 2024年第6期34卷 731-746页

作者： Yuekun Xing Bingxiang Huang Guangqing Zhang Binghong Li Hang Xu Xuejie Jiao Yang Yu Taisen Han Jinlong Chen State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Petroleum Resources and Engineering China University of Petroleum-BeijingBeijing 102249China

Identifying the real fracture of rock hidden in acoustic emission(AE)source clusters(AE-depicted microcrack zone)remains challenging and *** we revealed the AE energy(representing dissipated energy)distribution rule in the rock microcrack zone and proposed an AE-energy-based method for identifying the real fracture.(1)A set of fracture experiments were performed on granite using wedgeloading,and the fracture process was detected and recorded by *** microcrack zone associated with the energy dissipation was characterized by AE sources and energy distribution,utilizing our selfdeveloped AE analysis program(RockAE).(2)The accumulated AE energy,an index representing energy dissipation,across the AE-depicted microcrack zone followed the normal distribution model(the mean and variance relate to the real fracture path and the microcrack zone width).This result implies that the nucleation and coalescence of massive cracks(i.e.,real fracture generation process)are supposed to follow a normal distribution.(3)Then,we obtained the real fracture extension path by joining the peak positions of the AE energy normal distribution curve at different cross-sections of the microcrack ***,we distinguished between the microcrack zone and the concealed real fracture within *** deviation was validated as slight as 1–3 mm.

关键词： GeoEnergy exploitation Rock fracture fracture identification Acoustic emission AE energy analysis

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