{"title":"用三元图解释地震反演:地震岩性识别","authors":"Javad Sharifi","doi":"10.1111/1365-2478.70033","DOIUrl":null,"url":null,"abstract":"<p>Considering the demand for lithology identification in quantitative seismic interpretation, I introduced ternary diagrams based on rock physics modelling to derive lithology from seismic data. For this purpose, physical and acoustic parameters of minerals were utilized to reconstruct the most common rocks in hydrocarbon reservoirs, including source, reservoir and caprock. Subsequently, the generated rocks were input into a ternary diagram based on easily obtained parameters from seismic data, including acoustic impedance, <i>V</i><sub>P</sub>/<i>V</i><sub>S</sub> ratio and lambda–mu–rho parameters. Next, two ternary diagrams were implemented according to the elastic parameters for reservoir (and source) and caprock identification. The theoretical results indicated that the proposed ternary diagrams can be applied for interpreting seismic inversion data to discriminate limestone from sandstone and shale using lambda–rho. Additionally, mu–rho can serve as a criterion to differentiate dolomite from limestone and anhydrite (or sandstone from shale and limestone). The obtained ternary diagram was validated using ultrasonic and well-log data from blind wells and subsequently used to interpret 3D seismic data. For this purpose, acoustic impedance was calculated using a simultaneous inversion method from pre-stack data and converted to elastic parameters, which were then input into the ternary diagrams. The validation procedures yielded promising results and demonstrated that ternary diagrams can effectively identify different lithologies compared to conventional binary cross-plots. The advantage of the proposed diagrams lies in their comprehensiveness and generality, making them compatible with seismic limitations and applicable to a wide range of sedimentary rocks. The findings of this research can enhance the interpretation of seismic inversion results when mineral fraction or petrophysical interpretation is unavailable. Finally, the advantages and limitations of the methodology were discussed, and the impact of reservoir heterogeneities and fluid types on ternary diagrams was analysed. It was concluded that the proposed diagrams are not restricted to specific depositional settings and can be developed for the seismic interpretation of unconventional reservoirs and igneous rocks through the implementation of the mentioned methodology.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 6","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interpretation of seismic inversion using ternary diagram: Seismic lithology identification\",\"authors\":\"Javad Sharifi\",\"doi\":\"10.1111/1365-2478.70033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Considering the demand for lithology identification in quantitative seismic interpretation, I introduced ternary diagrams based on rock physics modelling to derive lithology from seismic data. For this purpose, physical and acoustic parameters of minerals were utilized to reconstruct the most common rocks in hydrocarbon reservoirs, including source, reservoir and caprock. Subsequently, the generated rocks were input into a ternary diagram based on easily obtained parameters from seismic data, including acoustic impedance, <i>V</i><sub>P</sub>/<i>V</i><sub>S</sub> ratio and lambda–mu–rho parameters. Next, two ternary diagrams were implemented according to the elastic parameters for reservoir (and source) and caprock identification. The theoretical results indicated that the proposed ternary diagrams can be applied for interpreting seismic inversion data to discriminate limestone from sandstone and shale using lambda–rho. Additionally, mu–rho can serve as a criterion to differentiate dolomite from limestone and anhydrite (or sandstone from shale and limestone). The obtained ternary diagram was validated using ultrasonic and well-log data from blind wells and subsequently used to interpret 3D seismic data. For this purpose, acoustic impedance was calculated using a simultaneous inversion method from pre-stack data and converted to elastic parameters, which were then input into the ternary diagrams. The validation procedures yielded promising results and demonstrated that ternary diagrams can effectively identify different lithologies compared to conventional binary cross-plots. The advantage of the proposed diagrams lies in their comprehensiveness and generality, making them compatible with seismic limitations and applicable to a wide range of sedimentary rocks. The findings of this research can enhance the interpretation of seismic inversion results when mineral fraction or petrophysical interpretation is unavailable. Finally, the advantages and limitations of the methodology were discussed, and the impact of reservoir heterogeneities and fluid types on ternary diagrams was analysed. 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引用次数: 0
摘要
考虑到定量地震解释中对岩性识别的需求,我引入了基于岩石物理建模的三元图,从地震数据中推导岩性。为此,利用矿物的物理和声学参数来重建烃源层、储层和盖层中最常见的岩石。随后,根据从地震数据中容易获得的参数,包括声阻抗、VP/VS比和λ - mu - rho参数,将生成的岩石输入到三元图中。其次,根据弹性参数实现储层(及源)和盖层识别的三元图。理论结果表明,本文提出的三元图可用于解释地震反演资料,利用λ - rho区分灰岩、砂岩和页岩。此外,mu-rho可以作为区分白云岩与石灰岩和硬石膏(或砂岩与页岩和石灰岩)的标准。利用盲井的超声波和测井数据验证了得到的三元图,随后用于解释三维地震数据。为此,利用叠前数据的同时反演方法计算声阻抗,并将其转换为弹性参数,然后输入到三元图中。验证过程产生了有希望的结果,并表明与传统的二元交叉图相比,三元图可以有效地识别不同的岩性。所提出的图解的优点在于其全面性和通用性,使其与地震限制相适应,并适用于广泛的沉积岩。本文的研究成果可以在无法进行矿物组分或岩石物理解释的情况下,提高地震反演结果的解释。最后,讨论了该方法的优点和局限性,分析了储层非均质性和流体类型对三元图的影响。结论是,所提出的图不局限于特定的沉积环境,可以通过实施上述方法开发非常规储层和火成岩的地震解释。
Interpretation of seismic inversion using ternary diagram: Seismic lithology identification
Considering the demand for lithology identification in quantitative seismic interpretation, I introduced ternary diagrams based on rock physics modelling to derive lithology from seismic data. For this purpose, physical and acoustic parameters of minerals were utilized to reconstruct the most common rocks in hydrocarbon reservoirs, including source, reservoir and caprock. Subsequently, the generated rocks were input into a ternary diagram based on easily obtained parameters from seismic data, including acoustic impedance, VP/VS ratio and lambda–mu–rho parameters. Next, two ternary diagrams were implemented according to the elastic parameters for reservoir (and source) and caprock identification. The theoretical results indicated that the proposed ternary diagrams can be applied for interpreting seismic inversion data to discriminate limestone from sandstone and shale using lambda–rho. Additionally, mu–rho can serve as a criterion to differentiate dolomite from limestone and anhydrite (or sandstone from shale and limestone). The obtained ternary diagram was validated using ultrasonic and well-log data from blind wells and subsequently used to interpret 3D seismic data. For this purpose, acoustic impedance was calculated using a simultaneous inversion method from pre-stack data and converted to elastic parameters, which were then input into the ternary diagrams. The validation procedures yielded promising results and demonstrated that ternary diagrams can effectively identify different lithologies compared to conventional binary cross-plots. The advantage of the proposed diagrams lies in their comprehensiveness and generality, making them compatible with seismic limitations and applicable to a wide range of sedimentary rocks. The findings of this research can enhance the interpretation of seismic inversion results when mineral fraction or petrophysical interpretation is unavailable. Finally, the advantages and limitations of the methodology were discussed, and the impact of reservoir heterogeneities and fluid types on ternary diagrams was analysed. It was concluded that the proposed diagrams are not restricted to specific depositional settings and can be developed for the seismic interpretation of unconventional reservoirs and igneous rocks through the implementation of the mentioned methodology.
期刊介绍:
Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.