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pre-stack AVO inversion with adaptive edge preserving smooth filter regularization based on Aki-Richard approximation

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Earthquake Research Advances 2021年第S1期1卷 59-62页

作者： Kai Li Xuri Huang Weiping Cao Cheng Yin Jing Tang School of Geosciences and Technology Southwest Petroleum UniversityChengduChina

With the development of exploration of oil and gas resources,the requirements for seismic inversion results are getting more *** particular,it is hoped that the distribution patterns of oil and gas reservoirs can be finely characterized,and the seismic inversion results can clearly characterize the location of stratigraphic boundaries and meet the needs of accurate geological ***,for pre-stack AVO inversion,it is required to be able to distinguish smaller geological targets in the depth or time domain,and clearly depict the vertical boundaries of the geological *** response to the above requirements,we introduce the preprocessing regularization of the adaptive edge-preserving smooth filter into the pre-stack AVO elastic parameter inversion to clearly invert the position of layer boundary and improve the accuracy of the inversion results.

关键词： AVO adaptive EPS filter pre-stack inversion Aki-Richard approximation

Petrophysical parameters inversion for heavy oil reservoir based on a laboratory-calibrated frequency-variant rock-physics model

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Petroleum Science 2023年第6期20卷 3400-3410页

作者： Xu Han Shang-Xu Wang Zheng-Yu-Cheng Zhang Hao-Jie Liu Guo-Hua Wei Gen-Yang Tang CNPC Key Laboratory of Geophysical Prospecting China University of Petroleum(Beijing)Beijing102249China Engineering Research Center of the Ministry of Education for Exploration and Development of Complex Oil and Gas Reservoirs China University of Petroleum(Beijing)Beijing102249China Shengli Oilfield Geophysical Exploration Research Institute SinopecDongying257000ShandongChina

Heavy oil has high density and viscosity, and exhibits viscoelasticity. Gassmann's theory is not suitable for materials saturated with viscoelastic fluids. Directly applying such model leads to unreliable results for seismic inversion of heavy oil reservoir. To describe the viscoelastic behavior of heavy oil, we modeled the elastic properties of heavy oil with varying viscosity and frequency using the Cole-Cole-Maxwell (CCM) model. Then, we used a CCoherent Potential Approximation (CPA) instead of the Gassmann equations to account for the fluid effect, by extending the single-phase fluid condition to two-phase fluid (heavy oil and water) condition, so that partial saturation of heavy oil can be considered. This rock physics model establishes the relationship between the elastic modulus of reservoir rock and viscosity, frequency and saturation. The viscosity of the heavy oil and the elastic moduli and porosity of typical reservoir rock samples were measured in laboratory, which were used for calibration of the rock physics model. The well-calibrated frequency-variant CPA model was applied to the prediction of the P- and S-wave velocities in the seismic frequency range (1–100 Hz) and the inversion of petrophysical parameters for a heavy oil reservoir. The pre-stack inversion results of elastic parameters are improved compared with those results using the CPA model in the sonic logging frequency (∼10 kHz), or conventional rock physics model such as the Xu-Payne model. In addition, the inversion of the porosity of the reservoir was conducted with the simulated annealing method, and the result fits reasonably well with the logging curve and depicts the location of the heavy oil reservoir on the time slice. The application of the laboratory-calibrated CPA model provides better results with the velocity dispersion correction, suggesting the important role of accurate frequency dependent rock physics models in the seismic prediction of heavy oil reservoirs.

关键词： Heavy oil Rock physics Velocity dispersion pre-stack inversion Reservoir prediction

prestack Multi-Gather Simultaneous inversion of Elastic Parameters Using Multiple Regularization Constraints

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Journal of Earth Science 2018年第6期29卷 1359-1371页

作者： Shu Li Zhenming Peng Hao Wu School of Optoelectronic Information University of Electronic Science and Technology of China Center for Information Geoscience University of Electronic Science and Technology of China School of Information Science and Engineering Jishou University

inversion of Young’s modulus,Poisson’s ratio and density from pre-stack seismic data has been proved to be feasible and ***,the existing methods do not take full advantage of the prior *** considering the lateral continuity of the inversion results,these methods need to invert the reflectivity *** this paper,we propose multi-gather simultaneous inversion for pre-stack seismic ***,the total variation（TV）regularization,L1 norm regularization and initial model constraint are *** order to solve the objective function contains L1norm,TV norm and L2 norm,we develop an algorithm based on split Bregman *** main advantages of our method are as follows：（1）The elastic parameters are calculated directly from objective function rather than from their reflectivity,therefore the stability and accuracy of the inversion process can be ensured.（2）The inversion results are more in accordance with the prior geological information.（3）The lateral continuity of the inversion results are *** proposed method is illustrated by theoretical model data and experimented with a 2-D field data.

关键词： elastic parameter pre-stack inversion multi-gather regularization

Reservoir prediction using pre-stack inverted elastic parameters

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Applied Geophysics 2009年第4期6卷 349-358,394页

作者：陈双全王尚旭张永刚季敏中国石油大学油气资源与探测国家重点实验室中国北京102249 中国石油大学CNPC物探重点实验室中国北京102249 中石化科技发展部中国北京100086 中石化勘探开发研究院海外研究中心

This is a case study of the application of pre-stack inverted elastic parameters to tight-sand reservoir prediction. With the development of oil and gas exploration, pre-stack data and inversion results are increasingly used for production objectives. The pre-stack seismic property studies include not only amplitude verse offset （AVO） but also the characteristics of other elastic property changes. In this paper, we analyze the elastic property parameters characteristics of gas- and wet-sands using data from four gas-sand core types. We found that some special elastic property parameters or combinations can be used to identify gas sands from water saturated sand. Thus, we can do reservoir interpretation and description using different elastic property data from the pre-stack seismic inversion processing. The pre- stack inversion method is based on the simplified Aki-Richard linear equation. The initial model can be generated from well log data and seismic and geologic interpreted horizons in the study area. The input seismic data is angle gathers generated from the common reflection gathers used in pre-stack time or depth migration. The inversion results are elastic property parameters or their combinations. We use a field data example to examine which elastic property parameters or combinations of parameters can most easily discriminate gas sands from background geology and which are most sensitive to pore-fluid content. Comparing the inversion results to well data, we found that it is useful to predict gas reservoirs using λ, λρ, λ/μ, and K/μ properties, which indicate the gas characteristics in the study reservoir.

关键词： elastic parameters pre-stack inversion reservoir prediction AVO analysis angle gather