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seismic impedance inversion based on cycle-consistent generative adversarial network

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Petroleum Science 2022年第1期19卷 147-161页

作者： Yu-Qing Wang Qi Wang Wen-Kai Lu Qiang Ge Xin-Fei Yan The Institute for Artificial Intelligence Tsinghua University(THUAI)Beijing100084China State Key Laboratory of Intelligent Technology and Systems Tsinghua UniversityBeijing100084China Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing100084China The Department of Automation Tsinghua UniversityBeijing100084China The Research Institute of Petroleum Exploration and Development China National Petroleum Corporation(CNPC)Beijing100083China

Deep learning has achieved great success in a variety of research fields and industrial applications.However,when applied to Seismic inversion,the shortage of labeled data severely influences the performance of deep learning-based methods.In order to tackle this problem,we propose a novel seismic impedance inversion method based on a cycle-consistent generative adversarial network(Cycle-GAN).The proposed Cycle-GAN model includes two generative subnets and two discriminative subnets.Three kinds of loss,including cycle-consistent loss,adversarial loss,and estimation loss,are adopted to guide the training process.Benefit from the proposed structure,the information contained in unlabeled data can be extracted,and adversarial learning further guarantees that the prediction results share similar distributions with the real data.Moreover,a neural network visualization method is adopted to show that the proposed CNN model can learn more distinguishable features than the conventional CNN model.The robustness experiments on synthetic data sets show that the proposed method can achieve better performances than other methods in most cases.And the blind-well experiments on real seismic profiles show that the predicted impedance curve of the proposed method maintains a better correlation with the true impedance curve.

关键词： Seismic inversion Cycle GAN Deep learning Semi-supervised learning Neural network visualization

A method of seismic meme inversion and its application

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Petroleum Exploration and Development 2020年第6期47卷 1235-1245页

作者： CHEN Yanhu BI Jianjun QIU Xiaobin CHEN Youbing YANG Hui CAO Jiajia DI Yongxiang ZHAO Haishan LI Zhixiang PEGETE Group Inc Beijing 100101China China University of Mining and Technology(Beijing) Beijing 100083China

Under the condition of thin interbeds with great lateral changes in terrestrial basins,a seismic meme inversion method is established based on the analysis of seismic sedimentology technology.The relationship between seismic waveform and high-frequency well logs is established through dynamic clustering of seismic waveform to improve the vertical and horizontal resolution of inversion results;meanwhile,by constructing the Bayesian inversion framework of different seismic facies,the real facies controlled inversion is realized.The forward model verification results show that the seismic meme inversion can realize precise prediction of 3 m thick thin interbeds,proving the rationality and high precision of the method.The application in the Daqing placanticline shows that the seismic meme inversion could identify 2 m thin interbeds,and the coincidence rates of inversion results and drilling data were more than 80%.The seismic meme inversion method can improve the accuracy of reservoir prediction and provides a useful mean for thin interbeds prediction in terrestrial basins.

关键词： Seismic inversion seismic waveform inversion facies controlled inversion reservoir prediction Daqing placanticline thin interbeds

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Capture the variation of the pore pressure with different geological age from Seismic inversion study in the Jaisalmer sub-basin,India

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Petroleum Science 2020年第6期17卷 1556-1578页

作者： Raman Chahal Saurabh Datta Gupta Department of Applied Geophysics Indian Institute of Technology(Indian School of Mines)DhanbadDhanbadJharkhand 826004India

Geoscientific evidence shows that various parameters such as compaction,buoyancy effect,hydrocarbon maturation,gas effect and tectonic activities control the pore pressure of sub-surface geology.Spatially controlled geoscientific data in the tectonically active areas is significantly useful for robust estimation of pre-drill pore pressure.The reservoir which is tectonically complex and pore pressure is changing frequently that circumference motivated us to conduct this study.The changes in pore pressure have been captured from the fine-scale to the broad scale in the Jaisalmer sub-basin.Pore pressure variation has been distinctly observed in pre-and post-Jurassic age based on the current study.Post-stack Seismic inversion study was conducted to capturing the variation of pore pressure.Analysis of low-frequency spectrum and integrated interval velocity model provided a detailed feature of pore pressure in each compartment of the study area.Pore pressure estimated from well log data was correlated with Seismic inversion based result.Based on the current study one well has been proposed where pore pressure was estimated and two distinguished trends are identified in the study zone.The approaches of the current study were analysed thoroughly and it will be highly useful in complex reservoir condition where pore pressure varies frequently.

关键词： Pore pressure Seismic inversion Clastic and carbonate reservoir

3D modeling of abnormal pore pressure in shallow offshore Niger delta: An application of Seismic inversion

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Petroleum Research 2021年第2期6卷 158-171页

作者： Chukwuemeka Patrick Abbey Osita Chukwudi Meludu Adetola Sunday Oniku a a Department of Physics Modibbo Adama University of Technology YolaNigeria Department of Petroleum Chemistry&Physics American University of NigeriaNigeria

Pore pressure is the pressure associated with fluids in the pore spaces of sedimentary rocks. Thispressure varies from hydrostatic to severe overpressure. It is classified as abnormal pressure when itdeviates from hydrostatic pressure. Incorrect prediction or the absence of pore pressure evaluation canlead to severe damage of the drilling platform, loss of personnel, waste of resources and environmentalpollution. This study was carried out in an offshore field in Niger Delta with an objective of predicting theabnormal pressure regime from the seismic volume using Seismic inversion technique. First, weemployed the Eaton’s and Bower’s model of predicting pore pressure from Well log. The predicted porepressure from the well was used to calibrate the P-impedance that was used in the inversion process. Apressure-based model for the Seismic inversion process was developed. This was constrained by therelationship between the P-impedance and pore pressure in the study area. The predicted pore pressurefrom the Well logs aligned with the measured pore pressure in the formation. At about 3600 m to end ofthe Well, depicts a pressure regime that is a deviation from the hydrostatic pressure trend. The abnormalpressure regime is marked by the region where a change is observed in the normal compaction trendline. The cross plot of acoustic impedance against pore pressure reveals a linear relationship;with adirect relationship indicating a normal pressure interval and the indirect relationship at the abnormalpressure regime. The inverted 3D pressure result from the seismic volume validates the normalcompaction trend line and also the pressure values estimated from the Well logs. The abnormal pressureregime in the study area is predicted to be found towards the end of Agbada Formation and through theAkata Formation due to the un-compacted shales.

关键词： Acoustic impedance Pressure Seismic inversion Formation Overpressure

Analysis of the ambiguity of log-constrained seismic impedance inversion

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Petroleum Science 2011年第2期8卷 151-156页

作者： Li Guofa Li Hao Ma Yanyan Xiong Jinliang State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China Key Laboratory of Geophysical Prospecting China National Petroleum Corporation Beijing 102249 China Dagang Oil field PetroChina Tianjin 300280 China

Although the ambiguity of Seismic inversion is widely recognized in both theory and practice, so far as a concrete inversion example is concerned, there is not any objective, controllable method or any standard for how to evaluate and determine its ambiguity and reliability, especially for the high frequency components beyond the effective seismic frequency band. Taking log-constrained impedance inversion as an example, a new appraisal method is proposed on the basis of analyzing a simple geological model. Firstly, the inverted impedance model is transformed to a reflection coefficient series. Secondly, the maximum effective frequency of the real seismic data is chosen as a cutoff point and the reflection coefficient series is decomposed into two components by low-pass and high-pass filters. Thirdly, the geometrical reflection characteristics of the high-frequency components and that of the real seismic data are compared and analyzed. Then, the reliability of the inverted impedance model is appraised according to the similarity of geometrical characteristics between the high-frequency components and the real seismic data. The new method avoids some subjectivity in appraising the inverted result, and helps to enhance the reliability of reservoir prediction by impedance inversion technology.

关键词： Log-constrained impedance reflection coefficients Seismic inversion ambiguity

A Study of Thin Sandstone Reservoirs by High-resolution Seismic inversion

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Petroleum Science 2006年第3期3卷 32-35页

作者： Ning Songhua Key Laboratory of Exploration Technologies for Oil and Gas Resources under the Ministry of Education Yangtze University Jingzhou Hubei 434023 China

In this paper Seismic inversion was used as a key technique and the seismic wavelet most suitable to the actual underground situation was extracted with the higher-order statistics algorithm. The wavelets extracted in this way and the wavelets extracted with the seismic statistics techniques were used separately for inverting the seismic data of the southern part of Tahe oilfield, Tarim basin. The results showed that the resolution of the wavelet inversion with the higher-order statistics method was greatly improved, and the wavelet-inverted section could better distinguish the thin sandstone reservoirs of the upper and lower Carboniferous and their lateral distribution, providing a reliable basis of analysis for the study of thin sandstone reservoirs.

关键词： Reservoir bed subtle oil/gas pool high resolution Seismic inversion

A subspace trust-region method for seismic migration inversion

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A subspace trust-region method for seismic migration inversi...

Evolvement feature of nonlinear dynamical system and application in Seismic inversion

中国科学院地质与地球物理研究所2014年度（第14届）...

作者： Zhenhua Li Yanfei Wang Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of Sciences Graduate University Chinese Academy of Sciences

In seismic exploration,regularized migration inversion of seismic data usually requires solving a weighted least-squares problem with constrains.It is well known that directly solving this problem using some decomposition techniques is very time-consuming,which makes it less possible for practical use.For iterative methods,previous research is mainly on solving the inverse model in a full space.In this paper,a robust subspace method is applied to seismic migration inversion with Gaussian beam representations of Green’s function.The problem is first formulated by incorporating regularizing constraints,and then,it is changed from full space to subspace and solved by a trust-region method.To test the potential of the application of the developed method,synthetic data simulations are performed.The results show that this method is very promising for ill-posed seismic migration inversion problems.

关键词： subspace method Seismic inversion migration trust-region method Gaussian beam

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Evolvement feature of nonlinear dynamical system and applica...

Elastic impedance inversion for stress indicator in weakly orthorhombic media

CPS/SEG 2004 International Geophysical Conference

作者： An Hongwei Department of Automation Tsinghua University Beijing China CNOOC Research Center Beijing

＜正＞ Chaos is a kind of prevalent phenomenon in nonlinear dynamic system. Aiming at the chaotic feature of Seismic inversion dynamic system, a novel inversion algorithm is proposed through adaptive Lyapunov exponent control and it can make system evolving to fixed point rapidly. We discussed evolvement feature by analyzing the relations among controlling parameter, Lyapunov exponent and system evolvement in logistic equation. Nonlinear inversion equation is established for seismic signal based on controlling chaos approach. Numerical experiment shows that this method can control effectively chaotic phenomenon of nonlinear inversion system. Adding noise, it also shows reliable inversion results.

关键词： Chaos Adaptive Lypunov exponent nonlinear dynamical system Seismic inversion

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Petroleum Science 2022年第5期19卷 2064-2080页

作者： Guang-Zhi Zhang Rui Yang Lin Li You Zhou Huai-Zhen Chen School of Geosciences China University of Petroleum(East China)QingdaoShangdong266580China School of Ocean and Earth Science Tongji UniversityShanghai200092China Department of Geoscience University of CalgaryCalgaryAlbertaT2N 1N4Canada

Hydraulic fracturing is a crucial technology for improving permeability and production of shale reservoirs.The precise estimation of the stress distribution has a significant guidance for optimizing the placement of hydraulic fracturing.Assuming that the shale gas reservoir is a weakly anisotropic medium with orthorhombic symmetry,a new stress indicator parameterized by rock mechanical parameters and fracture parameters is firstly presented to predict the differential horizontal stress ratio in shale gas reservoirs.Then,we derive a novel simplified P-to-P reflection coefficient and a logarithmic normalized elastic impedance(EI)as a function of Young’s modulus,Poisson’s ratio,Thomsen’s WA parameterδband normal excess compliance Z_(N).Next,we adopt azimuthal EI inversion in a Bayesian framework to estimate rock mechanics parameters and fracture parameters directly on a fractured shale gas field seismic data.Finally,the stress indicator is determined by utilizing four inverted parameters.Synthetic examples demonstrate that the proposed approach produces stable parameter estimates even with moderate noise,verifying the feasibility and effectiveness of the method.Test on a field data set illustrates that the inversion results can be reasonably estimated,and the stress indicator derived by the inversion accords with the geomechanics result.Compared with the previous method,the new stress indicator has a higher capability to describe stress characteristics in the shale reservoir.We conclude that this stress evaluation procedure can provide reliable guidance for well location deployment and hydraulic fracturing reformation.

关键词： Shale reservoir Stress Anisotropy Seismic inversion