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Pre-Stack Seismic Prediction Method for Multiple Types of Effective Reservoirs in Deep Tight Sandstones 认领 引用
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作者 JIANG Yong QIN Dewen +6 位作者 LI Jian LIU Qingwen YU Weizhe LI Lei YANG Wenqiang JIANG Xiuping JIANG Zhiyun 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第2期419-432,共14页
Deep tight sandstone reservoirs,which are characterized by complex features including compaction,consolidation,superposition of multi-stage channel sand bodies,and differential sedimentary infill,usually present diffe... Deep tight sandstone reservoirs,which are characterized by complex features including compaction,consolidation,superposition of multi-stage channel sand bodies,and differential sedimentary infill,usually present different pore-permeability characteristics and evident heterogeneity.Tight sandstone reservoirs exhibiting low to ultra-low permeability can be categorized into various types of effective reservoirs according to porosity and permeability parameters as key assessment indicators.Therefore,within the macro background of low permeability,the development areas presenting relatively high porosity and permeability(sweet spots)are the primary targets for investigation.However,distinguishing these types of effective reservoirs remains difficult due to the inadequate discriminative power of single elastic parameters,which introduces challenges for direct pre-stack seismic prediction.To address this concern,we propose a method for defining effective reservoir indicators by integrating reservoir physical parameters and establishing a statistical rock physical relationship between the indicators and elastic impedance.This technique constructs a seismic prediction framework for multiple types of effective reservoirs in deep tight sandstones on the basis of the Bayesian probabilistic inversion strategy.Results from model testing and field data applications validate the strong potential of the method for exploration practice. 展开更多
关键词 tight sandstone effective reservoir rock physics pre-stack inversion
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Joint physics and model-guided pre-stack seismic inversion using double dual neural network 认领 引用
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作者 Jian Zhang Hui Sun +2 位作者 Xing-Guo Huang Li Han Yan-Song Li 《Petroleum Science》 SCIE EI CAS CSCD 2026年第1期157-177,共21页
Pre-stack seismic inversion is used to calculate elastic parameters,including P-wave and S-wave velocities,as well as densities.These parameters play an integral role in the characterization of reservoirs,thereby enha... Pre-stack seismic inversion is used to calculate elastic parameters,including P-wave and S-wave velocities,as well as densities.These parameters play an integral role in the characterization of reservoirs,thereby enhancing the exploration and production process.Deep learning-based seismic inversion does not need a known physical system and can give satisfactory results with sufficient training data.The acquisition of such datasets for seismic inversion poses a significant challenge due to the exorbitant costs associated with drilling activities.Integrating domain knowledge,physical systems,and well log data into a deep learning-based seismic inversion framework is crucial for improving its efficiency and effectiveness.Nevertheless,existing data-driven approaches do not adequately exploit such information,thereby constraining their overall performance and applicability.Therefore,we develop a double dual neural network structure built upon the closed-loop neural network framework,which incorporates both physics and model information to mitigate the dependency on extensive labeled datasets.The information from the different domains is linked through a loss function,where one dual network is responsible for constraining the inversion results using physics information to ensure the physics consistency of the predictions,and the other dual network is responsible for constraining the inversion results using a priori model information to enhance the reliability of the predictions.The method makes full use of well-log data for network training when wells are available,as well as providing unsupervised learning and inversion under well-free conditions.The integration of qualitative and quantitative analyses proves instrumental in demonstrating the effectiveness of the proposed methodology through the use of synthetic and field pre-stack examples. 展开更多
关键词 Pre-stack seismic inversion Double dual neural network Physics guided Model guided
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Simultaneous pre-stack prediction of lithology,geofluids,and physical properties in deep tight sandstone reservoirs based on recharacterization of reflection coefficient approximation equation and Bayesian inversion strategy 认领 引用
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作者 Wenqiang Yang Lijun Song +1 位作者 Yue Zhang Si Wu 《Natural Gas Industry B》 2026年第3期280-299,共20页
Pre-stack seismic inversion is an important tool for the quantitative interpretation of complex reservoirs.However,the increasing demands of deep tight sandstone exploration require a more integrated characterization ... Pre-stack seismic inversion is an important tool for the quantitative interpretation of complex reservoirs.However,the increasing demands of deep tight sandstone exploration require a more integrated characterization of lithology,physical properties,and geofluid.Current inversion methodologies often treat these reservoir parameters separately,leading to fragmented understanding and redundant workflows.This study proposes a novel pre-stack seismic inversion method that simultaneously estimates lithology and physical properties of deep tight sandstone reservoirs.Its core innovation lies in establishing a direct,rock-physics-based link between seismic response and multiple reservoir attributes.The specific process involves:(1)Conducting a comprehensive rock-physics analysis to identify parameters sensitive to lithology,permeability,and geofluid types;(2)Deriving a novel reflection coefficient approximation through parameter combinations and mathematical simplification,followed by accuracy verification and feasibility assessment for seismic inversion;and(3)Implementing a model-constrained iterative reweighting Bayesian inversion scheme to reliably estimate model parameters.The effectiveness and reliability of the method have been validated through model tests and field data applications.This approach enables the identification of favorable zones within tight sandstone reservoirs,offering a feasible and efficient solution for their integrated seismic interpretation. 展开更多
关键词 Deep tight sandstone Lithology prediction Physical parameter inversion Geofluid discrimination Pre-stack seismic inversion
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Pre-stack inversion for caved carbonate reservoir prediction:A case study from Tarim Basin,China 认领 引用 被引量：11
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作者 Zhang Yuanyin Sam Zandong Sun +5 位作者 Yang Haijun Wang Haiyang HanJianfa Gao Hongliang Luo Chunshu Jing Bing 《Petroleum Science》 SCIE CAS CSCD 2011年第4期415-421,共7页
The major storage space types in the carbonate reservoir in the Ordovician in the TZ45 area are secondary dissolution caves.For the prediction of caved carbonate reservoir,post-stack methods are commonly used in the o... The major storage space types in the carbonate reservoir in the Ordovician in the TZ45 area are secondary dissolution caves.For the prediction of caved carbonate reservoir,post-stack methods are commonly used in the oilfield at present since pre-stack inversion is always limited by poor seismic data quality and insufficient logging data.In this paper,based on amplitude preserved seismic data processing and rock-physics analysis,pre-stack inversion is employed to predict the caved carbonate reservoir in TZ45 area by seriously controlling the quality of inversion procedures.These procedures mainly include angle-gather conversion,partial stack,wavelet estimation,low-frequency model building and inversion residual analysis.The amplitude-preserved data processing method can achieve high quality data based on the principle that they are very consistent with the synthetics.Besides,the foundation of pre-stack inversion and reservoir prediction criterion can be established by the connection between reservoir property and seismic reflection through rock-physics analysis.Finally,the inversion result is consistent with drilling wells in most cases.It is concluded that integrated with amplitude-preserved processing and rock-physics,pre-stack inversion can be effectively applied in the caved carbonate reservoir prediction. 展开更多
关键词 Carbonate reservoir prediction pre-stack inversion amplitude-preserved processing rock physics
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Reservoir prediction using pre-stack inverted elastic parameters 认领 引用 被引量：18
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作者 陈双全 王尚旭 +1 位作者 张永刚 季敏 《Applied Geophysics》 SCIE 2009年第4期349-358,394,共10页
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 increasing... 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. 展开更多
关键词 elastic parameters pre-stack inversion reservoir prediction AVO analysis angle gather
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Pre-stack-texture-based reservoir characteristics and seismic facies analysis 认领 引用 被引量：5
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作者 宋承云 刘致宁 +2 位作者 蔡涵鹏 钱峰 胡光岷 《Applied Geophysics》 SCIE CSCD 2016年第1期69-79,219,共11页
Seismic texture attributes are closely related to seismic facies and reservoir characteristics and are thus widely used in seismic data interpretation.However,information is mislaid in the stacking process when tradit... Seismic texture attributes are closely related to seismic facies and reservoir characteristics and are thus widely used in seismic data interpretation.However,information is mislaid in the stacking process when traditional texture attributes are extracted from poststack data,which is detrimental to complex reservoir description.In this study,pre-stack texture attributes are introduced,these attributes can not only capable of precisely depicting the lateral continuity of waveforms between different reflection points but also reflect amplitude versus offset,anisotropy,and heterogeneity in the medium.Due to its strong ability to represent stratigraphies,a pre-stack-data-based seismic facies analysis method is proposed using the selforganizing map algorithm.This method is tested on wide azimuth seismic data from China,and the advantages of pre-stack texture attributes in the description of stratum lateral changes are verified,in addition to the method＇s ability to reveal anisotropy and heterogeneity characteristics.The pre-stack texture classification results effectively distinguish different seismic reflection patterns,thereby providing reliable evidence for use in seismic facies analysis. 展开更多
关键词 Pre-stack texture attributes reservoir characteristic seismic facies analysis SOM clustering gray level co-occurrence matrix
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Impedance inversion of pre-stack seismic data in the depth domain 认领 引用 被引量：4
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作者 Jiang Wei Chen Xue Hua +3 位作者 Zhang Jie Luo Xin Dan Zhi Wei and Xiao Wei 《Applied Geophysics》 SCIE CSCD 2019年第4期427-437,559,560,共11页
The extensive application of pre-stack depth migration has produced huge volumes of seismic data,which allows for the possibility of developing seismic inversions of reservoir properties from seismic data in the depth... The extensive application of pre-stack depth migration has produced huge volumes of seismic data,which allows for the possibility of developing seismic inversions of reservoir properties from seismic data in the depth domain.It is difficult to estimate seismic wavelets directly from seismic data due to the nonstationarity of the data in the depth domain.We conduct a velocity transformation of seismic data to make the seismic data stationary and then apply the ridge regression method to estimate a constant seismic wavelet.The estimated constant seismic wavelet is constructed as a set of space-variant seismic wavelets dominated by velocities at different spatial locations.Incorporating the weighted superposition principle,a synthetic seismogram is generated by directly employing the space-variant seismic wavelets in the depth domain.An inversion workflow based on the model-driven method is developed in the depth domain by incorporating the nonlinear conjugate gradient algorithm,which avoids additional data conversions between the time and depth domains.The impedance inversions of the synthetic and field seismic data in the depth domain show good results,which demonstrates that seismic inversion in the depth domain is feasible.The approach provides an alternative for forward numerical analyses and elastic property inversions of depth-domain seismic data.It is advantageous for further studies concerning the stability,accuracy,and efficiency of seismic inversions in the depth domain. 展开更多
关键词 Depth domain seismic wavelet synthetic seismogram pre-stack impedance inversion
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Fast pre-stack multi-channel inversion constrained by seismic reflection features 认领 引用 被引量：4
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作者 Ya-Ming Yang Xing-Yao Yin +2 位作者 Kun Li Feng Zhang Jian-Hu Gao 《Petroleum Science》 SCIE EI CAS CSCD 2023年第4期2060-2074,共15页
Classical multi-channel technology can significantly reduce the pre-stack seismic inversion uncertainty, especially for complex geology such as high dipping structures. However, due to the consideration of complex str... Classical multi-channel technology can significantly reduce the pre-stack seismic inversion uncertainty, especially for complex geology such as high dipping structures. However, due to the consideration of complex structure or reflection features, the existing multi-channel inversion methods have to adopt the highly time-consuming strategy of arranging seismic data trace-by-trace, limiting its wide application in pre-stack inversion. A fast pre-stack multi-channel inversion constrained by seismic reflection features has been proposed to address this issue. The key to our method is to re-characterize the reflection features to directly constrain the pre-stack inversion through a Hadamard product operator without rearranging the seismic data. The seismic reflection features can reflect the distribution of the stratum reflection interface, and we obtained them from the post-stack profile by searching the shortest local Euclidean distance between adjacent seismic traces. Instead of directly constructing a large-size reflection features constraint operator advocated by the conventional methods, through decomposing the reflection features along the vertical and horizontal direction at a particular sampling point, we have constructed a computationally well-behaved constraint operator represented by the vertical and horizontal partial derivatives. Based on the Alternating Direction Method of Multipliers (ADMM) optimization, we have derived a fast algorithm for solving the objective function, including Hadamard product operators. Compared with the conventional reflection features constrained inversion, the proposed method is more efficient and accurate, proved on the Overthrust model and a field data set. 展开更多
关键词 Pre-stack multi-channel inversion Reflection features Fast optimization
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Study and application of PS-wave pre-stack migration in HTI media and an anisotropic correction method 认领 引用 被引量：1
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作者 YanLi-Li Cheng Bing-Jie +3 位作者 Xu Tian-Ji Jiang Ying-Ying Ma Zhao-Jun and Tang Jian-Ming 《Applied Geophysics》 SCIE CSCD 2018年第1期57-68,148,共12页
Anisotropy correction is necessary during the processing of converted PS- wave seismic data to achieve accurate structural imaging, reservoir prediction, and fracture detection. To effectively eliminate the adverse ef... Anisotropy correction is necessary during the processing of converted PS- wave seismic data to achieve accurate structural imaging, reservoir prediction, and fracture detection. To effectively eliminate the adverse effects of S-wave splitting and to improve PS- wave imaging quality, we tested methods for pre-stack migration imaging and anisotropic correction of PS-wave data. We based this on the propagation rules of seismic waves in a horizontal transverse isotropy medium, which is a fractured medium model that reflects likely subsurface conditions in the field. We used the radial （R） and transverse （T） components of PS-wave data to separate the fast and slow S-wave components, after which their propagation moveout was effectively extracted. Meanwhile, corrections for the energies and propagation moveouts of the R and T components were implemented using mathematical rotation. The PS-wave imaging quality was distinctly improved, and we demonstrated the reliability of our methods through numerical simulations. Applying our methods to three-dimensional and three-component seismic field data from the Xinchang-Hexingchang region of the Western Sichuan Depression in China, we obtained high-quality seismic imaging with continuous reflection wave groups, distinct structural features, and specific stratigraphic contact relationships. This study provides an effective and reliable approach for data processing that will improve the exploration of complex, hidden lithologic gas reservoirs. 展开更多
关键词 HTI media PS-wave pre-stack time migration anisotropic correction Xinchang-Hexingchang region the Western Sichuan Depression
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Direct pre-stack depth migration on rugged topography 认领 引用
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作者 周竹生 陈高祥 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2013年第9期2736-2742,共7页
Engineering seismic exploration aims at shallow imaging which is confused by statics if the surface is uneven. Direct pre-stack depth migration （DPDM） is based on accurate elevations of sources and receivers, by whi... Engineering seismic exploration aims at shallow imaging which is confused by statics if the surface is uneven. Direct pre-stack depth migration （DPDM） is based on accurate elevations of sources and receivers, by which static correction is completely abandoned before migration and surely the imaging quality is remarkably improved. To obtain some artificial shot gathers, high-order staggered-grid finite-difference （FD） method is adapted to model acoustic wave propagation. Since the shot gathers are always disturbed by regular interferences, the statics still must be applied to supporting the interference elimination by apparent velocity filtering method. Then all the shot gathers should be removed back to their original positions by reverse statics. Finally, they are migrated by pre-stack reverse-time depth migration and imaged. The numerical experiments show that the DPDM can ideally avoid the mistakes caused by statics and increase imaging precision. 展开更多
关键词 undulating topography seismic modeling static correction apparent velocity filtering direct pre-stack depth migration
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Application of Gaussian beam pre-stack depth migration in rugged seabed 认领 引用
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作者 HAN Fuxing YI Xin +3 位作者 SUN Zhangqing HU Jia XU Baoyin XU Hai 《Global Geology》 2021年第2期119-128,共10页
Strong fluctuation of seabed,abrupt variation in depth and dip of seabed bring seismic imaging problems,such as irregular reflection waves,obvious multiple waves,serious lateral wave development,poor imaging on base s... Strong fluctuation of seabed,abrupt variation in depth and dip of seabed bring seismic imaging problems,such as irregular reflection waves,obvious multiple waves,serious lateral wave development,poor imaging on base surface and depression structure,low signal-to-noise ratio of middle and deep layers.In this paper,Gaussian beam migration imaging method is used to analyze the imaging effect of rugged seabed in deep water area,and the ray tracing method of wavefront construction method is used to analyze the kinematic characteristics of seismic waves.By improving the design of seismic data acquisition and observation system,imaging quality of fine structures is improved. 展开更多
关键词 Gaussian beam migration wavefront construction method Gaussian beam pre-stack depth rugged seabed
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Elastic modulus extraction based on generalized pre-stack PP–PS wave joint linear inversion 认领 引用 被引量：2
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作者 Ma Qi-Qi Sun Zan-Dong 《Applied Geophysics》 SCIE CSCD 2018年第3期466-480,共15页
Joint PP–PS inversion offers better accuracy and resolution than conventional P-wave inversion. P-and S-wave elastic moduli determined through data inversions are key parameters for reservoir evaluation and fluid cha... Joint PP–PS inversion offers better accuracy and resolution than conventional P-wave inversion. P-and S-wave elastic moduli determined through data inversions are key parameters for reservoir evaluation and fluid characterization. In this paper, starting with the exact Zoeppritz equation that relates P-and S-wave moduli, a coefficient that describes the reflections of P-and converted waves is established. This method effectively avoids error introduced by approximations or indirect calculations, thus improving the accuracy of the inversion results. Considering that the inversion problem is ill-posed and that the forward operator is nonlinear, prior constraints on the model parameters and modified low-frequency constraints are also introduced to the objective function to make the problem more tractable. This modified objective function is solved over many iterations to continuously optimize the background values of the velocity ratio, which increases the stability of the inversion process. Tests of various models show that the method effectively improves the accuracy and stability of extracting P and S-wave moduli from underdetermined data. This method can be applied to provide inferences for reservoir exploration and fluid extraction. 展开更多
关键词 Pre-stack joint PP–PS inversion P-and S-wave moduli exact Zoeppritz equation generalized linear inversion reservoir and fl uid prediction
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Application of pre-stack S-wave velocity inversion based on full-offset gathers in reservoir characterization 认领 引用
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作者 Guoqing Sun Yingkang Zhu +3 位作者 Yuming Wu Haobing Wu Lidong Shi Weijia Fan 《Journal of Geophysical Prospecting》 2026年第2期185-192,共8页
Shear-wave velocity(VS)plays a crucial role in the prediction of clastic rock reservoirs,including the identification of“sweet spots”.In the Shahezi Formation of the Xujiaweizi BSH9 well area,the differences in P... Shear-wave velocity(VS)plays a crucial role in the prediction of clastic rock reservoirs,including the identification of“sweet spots”.In the Shahezi Formation of the Xujiaweizi BSH9 well area,the differences in P-wave impedance(IP)among tight sandy conglomerate,tight siltstone,and mudstone are negligible,and the VP/VS exhibits substantial overlap.Rock physics analysis identifies VS as the most sensitive elastic parameter in the SQ4 of this area.The relatively low accuracy of previous reservoir predictions leads to a drilling success rate below 80%for sandy conglomerate reservoirs in the SQ4 member,as well as poor prediction accuracy for highporosity and high-permeability“sweet spots”.This is a key reason for the low productivity of earlier wells such as BSH1 and BSH5.Based on single-interface model data at the top of the reservoir and well-log data(including VS)from the target interval,AVO forward modeling is performed to generate common reflection point(CRP)gathers.Two pre-stack inversion methods,full-offset-gather pre-stack inversion and partial-stack pre-stack inversion,are applied to these gathers to obtain relative VS values.Compared with the second method,the first method reduces the inversion error from 25%to 10%.Moreover,the relative VS values outperform the relative P-wave impedance in distinguishing lithology and identifying sweet-spot reservoirs.After residual multiple attenuation is applied to the actual quasi-pure wave gathers,the direct VS inversion results from full-offset gathers in the target interval(SQ4 member of the Shahezi Formation)show good consistency with the drilling results of Well BSH9H.Three subsequent wells drilled in predicted high-quality reservoir zones yield high industrial gas flow exceeding 1 million cubic meters per day,whereas one well located in a predicted lowquality zone produces only low gas flow. 展开更多
关键词 Rock physics analysis Shear-wave velocity(VS) Partial stack Full-offset gather Pre-stack inversion Reservoir characterization
Pre-stack AVO inversion with adaptive edge preserving smooth filter regularization based on Aki-Richard approximation 认领 引用
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作者 Kai Li Xuri Huang +2 位作者 Weiping Cao Cheng Yin Jing Tang 《Earthquake Research Advances》 CSCD 2021年第S1期59-62,共4页
With the development of exploration of oil and gas resources,the requirements for seismic inversion results are getting more accurate.In particular,it is hoped that the distribution patterns of oil and gas reservoirs ... With the development of exploration of oil and gas resources,the requirements for seismic inversion results are getting more accurate.In 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 description.Specifically,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 objects.In 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. 展开更多
关键词 AVO adaptive EPS filter Pre-stack inversion Aki-Richard approximation
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Application of pre-stack geostatistical inversion in prediction of thin high-quality conglomerate reservoir in Shawan Depression,Junggar Basin 认领 引用
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作者 Zhiguo CHENG Zeliang LIANG +4 位作者 Junfeng HAN Tingting HU Gaoshan DENG Chunming JIA Jian GUAN 《Frontiers of Earth Science》 SCIE CSCD 2025年第4期498-504,共7页
In the Baikouquan Formation of the Shawan Depression,there exist thin,high-quality conglomerate reservoirs with low porosity and low permeability.Only the underwater gray-green conglomerate with medium porosity is con... In the Baikouquan Formation of the Shawan Depression,there exist thin,high-quality conglomerate reservoirs with low porosity and low permeability.Only the underwater gray-green conglomerate with medium porosity is considered a high-quality reservoir.Due to the overlapping wave impedance between these thin highquality reservoirs and tight layers,traditional post-stack inversion and pre-stack simultaneous inversion methods are ineffective in predicting such thin reservoirs.Pre-stack geostatistical inversion,which combines the advantages of simultaneous inversion and geostatistical inversion,has proven to be effective in this context.This study integrates core,logging,and test data to construct petrophysical charts using P-impedance and Vp/Vs ratios,idengtify key reservoir parameters,and apply pre-stack geostatistical inversion to predict thin high-quality conglomerate reservoirs.The results show that pre-stack geostatistical inversion can accurately identify thin high-quality reservoirs,providing a reliable basis for further exploration and development. 展开更多
关键词 Junggar Basin Shawan Depression tight conglomerate high-quality reservoir pre-stack geostatistical inversion
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Study on prestack reservoir prediction of deep volcanic rock gas reservoirs in Chaganhua sub-sag of Songnan Fault Depression 认领 引用
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作者 Yang Qin-lin Fan Xue-pei +4 位作者 Bi Chen-chen Ke lan-mei Yang Ye Zhang Da Wang Shu 《Applied Geophysics》 SCIE CSCD 2026年第2期496-506,865,共11页
The deep Huoshiling Formation of Chaganhua Sub-sag in Songnan Fault Depression has developed intermediate-basic volcanic rocks,with complex lithology,significant difference in reservoir physical properties,strong hete... The deep Huoshiling Formation of Chaganhua Sub-sag in Songnan Fault Depression has developed intermediate-basic volcanic rocks,with complex lithology,significant difference in reservoir physical properties,strong heterogeneity,and the infl uence of low-velocity tuffi te.It is diffi cult to identify and predict the volcanic reservoir.In this paper,fi rst,we calculated diff erent mineral components of the volcanic rocks based on elemental capture spectroscopy logging and the normative mineral method.Taking the Xu-Panye rock physics model as the framework,the parameters of the physical model were optimized through error fusion and iteration,and a multi-mineral petrophysical model of volcanic rocks suitable for the study area was constructed.Sensitive elastic parameters for tuffi te and reservoirs identifi cation selected through petrophysical analysis.Then,based on pre-stack simultaneous inversion of wide-azimuth OVT gathers and Bayesian lithofacies probability analysis,different volcanic lithofacies bodies and reservoir probability bodies were obtained,thereby conducting quantitative prediction of volcanic reservoirs in the Huoshiling Formation of the study area.The reservoir results show a high degree of consistency with actual drilling data,achieving good practical application eff ects. 展开更多
关键词 Huoshiling Formation intermediate-basic volcanic rocks elemental capture spectroscopy logging normative mineral method pre-stack simultaneou inversion Bayesian lithofacies probability analysis
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Fluid identification method and application of pre-stack and poststack integration based on seismic low-frequency 认领 引用 被引量：1
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作者 Jinhong Xiong Wei Liu +3 位作者 Zhenhua He Xuehua Chen Yusheng Zhang Gang Yu 《Petroleum Research》 EI 2017年第1期90-96,共7页
Seismic low-frequency component included more fluid information,which was still a focus in geophysics.Seismic pre-stack data contained more fluid information,but signal to noise ratio(SNR)was low.By comparison,seismic... Seismic low-frequency component included more fluid information,which was still a focus in geophysics.Seismic pre-stack data contained more fluid information,but signal to noise ratio(SNR)was low.By comparison,seismic post-stack data had a high SNR,but some fluid information was lost during data processing.Different angel stacks reflected different fluid seismic amplitude,compared with nearangle stacks.Far angle stacks had more low frequency components,which were more benefit for fluid identification.Based on this principle,combined with the pre-stacks and post-stacks seismic data,more fluid information would be included.In this study,a new fluid identification method was proposed.This method combined the post-stack seismic and pre-stack seismic data,it took into consideration high SNR of the post-stack seismic data and the large fluid amplitude differences of the pre-stack different angles.Field testing indicated this method was quite effective in detecting fluids. 展开更多
关键词 Fluid identification Seismic low-frequency Signal to noise ratio Post-stack seismic data Pre-stack seismic data
利用叠前方位信息进行二氧化碳驱油监测 认领 引用
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作者 曲志鹏 陈永芮 +3 位作者 邹春丽 冯德永 亓亮 张军华 《石油地球物理勘探》 EI CSCD 北大核心 2026年第2期482-489,共8页
二氧化碳驱油(CO2-EOR)技术作为提高采收率和碳封存的重要手段,其动态监测精度直接影响工程效益。常规叠后地震资料丢失了各向异性的原始信息,无法判断主流线方向及注采优势通道。文中以胜利油田G89-1井区滩坝砂油藏为研究对象,利用... 二氧化碳驱油(CO2-EOR)技术作为提高采收率和碳封存的重要手段,其动态监测精度直接影响工程效益。常规叠后地震资料丢失了各向异性的原始信息,无法判断主流线方向及注采优势通道。文中以胜利油田G89-1井区滩坝砂油藏为研究对象,利用原始OVT(Offset-Vector Tile)道集的方位信息,提出了基于叠前分方位信息的CO2监测方法。通过分析方位角与炮检距、覆盖次数之间的关系,生成了适合研究区的分方位角叠加道集;通过注气层顶面振幅一致性处理,获得了CO2监测的地震各向异性振幅特征。井点分析结果表明,分方位道集振幅的极值与CO2主流线方向高度吻合,为预测注采优势通道提供了依据。通过对全区地震数据进行振幅一致性处理,提取最大振幅属性,有效预测了CO2在注气层中的波及范围,评价了剩余油4个有利分布区,指明了下一步勘探开发的优势方向。该研究提出了一种基于OVT方位信息的CO2地质封存监测方法,为CO2监测提供了新的技术手段。 展开更多
关键词 OVT道集 叠前方位信息 二氧化碳驱油 振幅分析 动态监测
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海上深层低渗气田精细地震成像处理关键技术及应用 认领 引用
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作者 涂齐催 娄敏 +5 位作者 李炳颖 刘江 毛云新 潘雅婷 吴啸啸 张宇慧 《海洋地质前沿》 CAS CSCD 北大核心 2026年第1期95-106,共12页
A气田位于东海盆地西湖凹陷内,所在海域水深为90~110 m,主要气藏埋深均在海平面4 000 m以深,气田现有的叠前深度偏移(prestack depth migration, PSDM)地震资料在小断层识别、储层内幕刻画、钻井深度预测等方面均存在不足,亟需开展针对... A气田位于东海盆地西湖凹陷内,所在海域水深为90~110 m,主要气藏埋深均在海平面4 000 m以深,气田现有的叠前深度偏移(prestack depth migration, PSDM)地震资料在小断层识别、储层内幕刻画、钻井深度预测等方面均存在不足,亟需开展针对性的地震资料重处理,以改善地震资料品质、提高低渗气藏描述精度,推动气田高效开发。基于原始地震数据,在开展海域噪声压制、源缆鬼波压制、浅水多次波压制的基础上,重点开展了精细地震成像处理,主要包括:高精度速度分析、弯曲射线Kirchhoff叠前时间偏移、全局寻优网格层析速度反演、井震联合各向异性速度建模、Kirchhoff各向异性叠前深度偏移。通过以上精细地震处理,地震资料信噪比和分辨率明显提高,深层地震成像能量更聚焦,深层断层成像和储层内幕更清晰;基于成像处理的地震速度开展钻前深度预测,与实际钻井层位标定深度更接近。新处理资料应用表明,以上精细成像处理技术及流程对海上深层低渗气田地震资料改善作用明显,可在相似区块进行推广应用。 展开更多
关键词 东海盆地 地震成像 鬼波 层析速度反演 各向异性 叠前深度偏移
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高低频联合拟三维层析静校正技术在深层成像中的应用 认领 引用
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作者 顾观文 曹来 +5 位作者 牛兴国 武晔 孙守才 王顺吉 王英杰 林兴龙 《地质与勘探》 CAS CSCD 北大核心 2026年第2期398-411,共14页
二维地震勘探资料处理普遍存在主测线与联络线不闭合、成像速度不准确及静校正计算困难等问题。为解决上述问题,本文提出了一套整合拟三维静校正和偏移速度建模流程的改进技术方案,将高低频联合拟三维层析静校正技术与偏移速度融合建模... 二维地震勘探资料处理普遍存在主测线与联络线不闭合、成像速度不准确及静校正计算困难等问题。为解决上述问题,本文提出了一套整合拟三维静校正和偏移速度建模流程的改进技术方案,将高低频联合拟三维层析静校正技术与偏移速度融合建模相结合,以实现从近地表校正到深层成像的一体化高精度处理。首先,基于单炮初至数据,采用高低频联合的拟三维层析静校正技术反演高精度近地表速度模型,并计算兼顾测线闭合与高频信息的静校正量;其次,将初至波反演获得的近地表速度和中深层反射波速度进行融合,构建全深度高精度速度场;最后,利用融合偏移速度场开展叠前偏移处理,以提高深层成像质量。将该技术方案应用于东北某二维工区,发现高低频联合拟三维层析反演静校正技术可有效解决静校正问题,使主测线与联络线的闭合差在±2 ms以内,剖面闭合率达到95%以上;初至波层析反演近地表建模技术的应用弥补了反射波法在浅层速度建模中的缺陷;通过速度融合建模技术,偏移速度场的精度显著提升,深层成像信噪比提高约30%,构造形态更加清晰。研究表明,本文提出的技术策略具有可行性和有效性,能系统改善二维地震资料处理中的静校正、闭合差与速度建模问题,提升深层成像质量,为类似二维地震资料处理提供了可靠的技术参考。 展开更多
关键词 二维地震资料处理 拟三维层析静校正 闭合差 近地表建模 速度融合建模 叠前偏移成像
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