Journal of Geophysics and Engineering最新文献_第3页

Advances in transient electromagnetic methods 瞬态电磁方法的进展

IF 1.4 3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-10-25 DOI: 10.1093/jge/gxad089

Colin G Farquharson, Xiangyun Hu, Qinghua Huang, Xiu Li, Jianhui Li, Guoqiang Xue, Changchun Yin

引用次数: 0

Parameter inversion of the diffusive-viscous wave equation based on Gaussian process regression 基于高斯过程回归的扩散-粘性波动方程参数反演

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-10-19 DOI: 10.1093/jge/gxad085

Zhaowei Bai, Haixia Zhao, Shaoru Wang

{"title":"Parameter inversion of the diffusive-viscous wave equation based on Gaussian process regression","authors":"Zhaowei Bai, Haixia Zhao, Shaoru Wang","doi":"10.1093/jge/gxad085","DOIUrl":"https://doi.org/10.1093/jge/gxad085","url":null,"abstract":"Abstract The diffusive-viscous wave (DVW) equation is used to characterize the relationship between frequency-dependent seismic responses and saturated fluids by incorporating the frictional dissipation and viscous damping to the scalar wave equation. Simultaneous inversion of three model parameters in DVW equation is essential for seismic interpretations. Traditional inversion methods require continuous forward modeling updates, resulting in low computational efficiency. Moreover, the traditional methods have limitations in simultaneously inverting multi-parameters of wave equations such as DVW equation, usually fixing one parameter to invert the other two parameters. Gaussian process regression (GPR) is a kernel-based non-parametric probabilistic model that introduces prior variables through Gaussian processes (GP). We present a method for the inversion of the three parameters (velocity, diffusive and viscous attenuation coefficients) of the DVW equation based on GPR. The procedure consists of initially implementing the central finite difference approximation to discretize the DVW equation in the time domain. Subsequently, a Gaussian prior is provided on two snapshots of the DVW equation to obtain the corresponding kernel functions. Furthermore, the hyperparameters in kernel functions and the three model parameters are simultaneously trained by minimizing the negative logarithmic marginal likelihood with few training samples while incorporating the underlying physics in terms of encoding the DVW equation into the kernel functions. It is worth noting that it is the first time to implement three-parameter simultaneous inversion based on DVW equation. The numerical examples in homogeneous, layered and heterogeneous media demonstrate the effectiveness of this method.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135779519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrasonic P-wave to determine pore parameters of Spergen limestone 超声纵波法测定喷根灰岩孔隙参数

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-10-18 DOI: 10.1093/jge/gxad084

Guangquan Li, Zhongyuan Liu, Bohua Li

{"title":"Ultrasonic P-wave to determine pore parameters of Spergen limestone","authors":"Guangquan Li, Zhongyuan Liu, Bohua Li","doi":"10.1093/jge/gxad084","DOIUrl":"https://doi.org/10.1093/jge/gxad084","url":null,"abstract":"Abstract Ultrasonic waves are capable of helping characterize pores of rocks. A model of viscous squirt is used to simulate phase velocity and the quality factor of ultrasonic P-wave measured in water-saturated Spergen limestone, thus determining pore parameters of the limestone. The measured P-wave had a centroid frequency of ∼0.75 MHz, and two simulations are conducted in this paper. The first simulation yields a dispersion curve with a dipping spike followed by a rising spike. However, it cannot yield the measured quality factor. Another drawback is that one of the pore parameters violates rock physics. The second simulation yields a dispersion curve with a small velocity depression followed by an upward velocity concave; the measured phase velocity and quality factor are simultaneously predicted. The resulting dimensions of the rock unit are 0.3 by 0.333 mm, which is consistent with the mean grain diameter of 0.3 mm. The relative first and second porosities are ascertained to be 0.97 and 0.03, respectively. The aperture distance at contact of grains is inverted as 1.8 µm. Remarkably, the minimum phase velocity of the water-saturated limestone is lower than the Gassmann velocity.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"15 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135823580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Crosswell frequency-domain reverse time migration imaging with wavefield decomposition 波场分解的井间频域逆时偏移成像

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-10-18 DOI: 10.1093/jge/gxad083

Jixin Yang, Xiao He, Hao Chen

{"title":"Crosswell frequency-domain reverse time migration imaging with wavefield decomposition","authors":"Jixin Yang, Xiao He, Hao Chen","doi":"10.1093/jge/gxad083","DOIUrl":"https://doi.org/10.1093/jge/gxad083","url":null,"abstract":"Abstract Crosswell seismic technique can provide high-resolution imaging and monitoring of the subsurface. However, compared to the surface seismic, crosswell data contain more complex wave components, which increases the difficulty of seismic processing and migrations. Conventional acoustic reverse time migration (RTM) mainly uses the cross-correlation of the source forward and the receiver backward wavefields. The redundant information generated by cross-correlation may undermine the imaging reliability in the crosswell models. Thus, we develope a novel wavefield decomposition imaging condition and only used cross-correlation information of incident and reflection waves in the same propagation directions, which eliminate the artifacts generated from the cross-correlation of wave information unrelated to reflections in the crosswell image. We perform RTM in the frequency domain to maintain efficiency in multi-shot problems. A mono-frequency wavefield decomposition method is applied to separate and process the seismic data. The forward and backward wavefields are reclassified into the up-and-down- propagating components. And the L1 norm is introduced to enhance the robustness of the proposed imaging method. We then use this method to synthesized data from layering models and analyse the imaging results generated from each pair of cross-correlations using source and receiver wavefields. Results show that the cross-correlation information belonging to the same propagation contributes most to the crosswell image, and the other information always generates migration noises. Moreover, we apply the proposed method to a real field dataset. Processing results validate the effectiveness of the proposed means for eliminating false events in the crosswell models and improving image quality.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135888003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low noise chopper amplifier design for low frequency Induction Magnetometers 低频感应磁力计的低噪声斩波放大器设计

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-10-18 DOI: 10.1093/jge/gxad082

Yao Tang, Zhenzhu Xi, Xingpeng Chen, Xia Long

引用次数: 0

Physical modeling of complex lithofacies volcanic edifices and seismic characteristics 复杂岩相火山构造的物理模拟与地震特征

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-10-09 DOI: 10.1093/jge/gxad081

Da ZHANG, Yinghan QI, Tingdong XING, Zhiqi GUO, Lei CAO

{"title":"Physical modeling of complex lithofacies volcanic edifices and seismic characteristics","authors":"Da ZHANG, Yinghan QI, Tingdong XING, Zhiqi GUO, Lei CAO","doi":"10.1093/jge/gxad081","DOIUrl":"https://doi.org/10.1093/jge/gxad081","url":null,"abstract":"Abstract The Songnan fault basin contains a significant distribution of basaltic volcanics, which serve as one of the primary types of reservoirs in the area. Volcanic formations exhibit notable distinctions when compared to conventional oil and gas reservoirs, and the precise seismic response mechanism of these formations remains uncertain. Hence, it is imperative to investigate the seismic response mechanism of volcanic formations to enhance the geophysical characterization capability of oil and gas reservoirs composed of igneous rock. The seismic physical simulation model method is utilised to obtain dependable data for investigating the seismic response mechanisms of volcanic structures. This is achieved by constructing intricate physical models of rocks and volcanic structures.Our team focused on the development of materials and processes for accurately modelling various rock and volcanic structures, and we successfully designed and produced a three-dimensional physical model representing volcanic structures in the Chaganhua area. Furthermore, we conducted thorough data acquisition and analysis to examine the seismic response characteristics and sensitive properties of different geological bodies. We can improve the accuracy of identifying different lithofacies of volcanic rocks by extracting different seismic attributes. This study presents a reliable approach for elucidating the seismic response mechanism of intricate rock and volcanic formations. It can also serve as a valuable resource for processing and interpreting seismic data in the specific study region. The conclusion that weak seismic reflection signals in volcanic rocks are effective signals rather than noise can be more conducive to accurate analysis and description of volcanic structures.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135045588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rational function neural networks for learning rock physics models from field data 从现场数据中学习岩石物理模型的有理函数神经网络

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-09-28 DOI: 10.1093/jge/gxad079

Weitao Sun, Zhifang Yang

{"title":"Rational function neural networks for learning rock physics models from field data","authors":"Weitao Sun, Zhifang Yang","doi":"10.1093/jge/gxad079","DOIUrl":"https://doi.org/10.1093/jge/gxad079","url":null,"abstract":"Abstract Seismic wave velocity estimation is critical for understanding Earth's internal structure. Traditional rock physics models require careful physical assumptions and mathematical derivations, often facing challenges when applied to complex field data. Empirical formulas, while simple, lack a solid physical foundation. To address these limitations, we propose a data-driven approach using rational function neural networks (RafNN) for rock physics modelling. By analysing logging data, RafNN establishes a rational equation capturing the interdependencies among rock modulus, matrix stiffness, porosity, and fluid. The results show that RafNN accurately extracts the Gassmann's equation when the training data adheres to its constraints. Moreover, RafNN can derive general models from logging data that deviate from the Gassmann's equation. These data-driven models exhibit lower prediction errors while maintaining consistency with Gassmann's model. RafNN's adaptability to field data variability is a key advantage, facilitating better comprehension of the underlying mathematical and physical principles. Additionally, we explore the relationship between modulus, porosity, and compressibility, shedding light on the physical interpretation of RafNN models. Notably, RafNN derives analytical models directly from field data, reducing reliance on mathematical derivations and physical assumptions. Although further research is needed to understand the convergence theory of RafNN, this study presents a promising approach for data-driven rock physics modelling. It contributes to the exploration of Earth's heterogeneous structure and advances the field of seismic wave velocity estimation.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experiment and particle flow simulation on mechanical properties and crack evolution mechanism of Brazilian discs containing two flaws 含双缺陷巴西盘力学性能及裂纹演化机理的实验与颗粒流模拟

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-09-27 DOI: 10.1093/jge/gxad080

Yao Bai, Peng Sun, Haoyu Dou, Tiancheng Ma, Yujing Wang, Pengqian Liu

{"title":"Experiment and particle flow simulation on mechanical properties and crack evolution mechanism of Brazilian discs containing two flaws","authors":"Yao Bai, Peng Sun, Haoyu Dou, Tiancheng Ma, Yujing Wang, Pengqian Liu","doi":"10.1093/jge/gxad080","DOIUrl":"https://doi.org/10.1093/jge/gxad080","url":null,"abstract":"Abstract The mechanical behavior of fractured rock in tensile stress environment is a hot topic in underground mining engineering. Here, real surrounding rock of coal mine roadway was simulated by using rock-like materials and the tensile failure behavior of Brazilian discs with intermittent double fissures was investigated experimentally. The deformation response, fracture evolution, and failure mode of rock were analyzed. The fissured disc specimen's discrete element model was proposed in particle flow code (PFC2D). The microforce field, crack, and energy evolution processes of model specimens were discussed. The results showed that the load-displacement curves exhibit single-peak and double-peak types, corresponding to the splitting penetration and wing crack penetration damage modes of the specimen. The fissure angle or rock bridge angle showed a great influence on the evolution of main cracks and secondary cracks. The double-fissured Brazilian disc failed due to the initiation and transfer of microcracks in the stress concentration zone, combined with the continuous propagation and convergence of those microcracks. The splitting failure of the Brazilian disc is a continuous process of strain energy accumulation from the early stage of loading and instantaneous release of strain energy after obtaining the peak strength as the dissipative energy sharply rises.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135579809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A sandwich resonant bar method with transfer matrices for measuring the elastic parameters of rock at low frequency 采用传递矩阵的夹层共振杆法测量岩石低频弹性参数

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-09-27 DOI: 10.1093/jge/gxad078

Jiahui Li, Dehua Chen, Yu Wang, Hao Chen

{"title":"A sandwich resonant bar method with transfer matrices for measuring the elastic parameters of rock at low frequency","authors":"Jiahui Li, Dehua Chen, Yu Wang, Hao Chen","doi":"10.1093/jge/gxad078","DOIUrl":"https://doi.org/10.1093/jge/gxad078","url":null,"abstract":"Abstract Rocks and other geological materials have appreciable dispersion in their elastic properties. Rock elastic parameters within the same frequency range as the logging frequency band (1–20 kHz) should be determined to facilitate reservoir prediction and interpretation of logging data. This study suggests a technique for determining the elastic characteristics of rock cores at low frequencies using a sandwich resonant bar by integrating transfer matrices into the one-dimensional transmission model. The frequency response expression of the sandwich resonant bar is derived analytically and then the response is simulated accurately based on this expression. Numerical results show that the first two-order longitudinal resonance frequencies are approximately linearly related to the inverse of the sample's Young's modulus and the density, respectively. In addition, an inversion algorithm based on Gauss–Newton iteration, which converges faster and more efficiently, is proposed in this paper. The residuals between the model's first two resonant frequencies and the simulated results are used as the error function, and the elasticity parameters that minimize the error function are the best estimate for creating the model. This research is valuable for measuring rock elastic parameters accurately in the kilohertz range, which is of practical significance in dispersion-related studies relating to rock cores.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135579135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Integrated Workflow for Pre-stack Gather Optimization 堆栈前采集优化的集成工作流

3区地球科学

Journal of Geophysics and Engineering Pub Date : 2023-09-23 DOI: 10.1093/jge/gxad077

Jie Zhou, Huailai Zhou, Junping Liu, Yaoguang Sun

{"title":"An Integrated Workflow for Pre-stack Gather Optimization","authors":"Jie Zhou, Huailai Zhou, Junping Liu, Yaoguang Sun","doi":"10.1093/jge/gxad077","DOIUrl":"https://doi.org/10.1093/jge/gxad077","url":null,"abstract":"Abstract High-quality seismic data contribute to improving the prediction accuracy of complex reservoirs. Currently, there are several methods for enhancing pre-stack gather resolution and signal-to-noise ratio (SNR). Meanwhile, to avoid incorrect seismic interpretation, we must evaluate whether the processed data maintains its original characteristics and reliability. This paper establishes an integrated workflow for optimizing common-reflection-point (CRP) gather that is divided into processing and quality control. Furthermore, we summarize the comprehensive quality control means and explain their specific significance in each step. Data processing includes four parts: gather flattening, SNR enhancement, energy compensation, and resolution improvement. Simultaneously, we use well log data, forward simulation, stack data, and inversion to guarantee the processed data is optimized and keeps its original characteristics. Applications in carbonate reservoir CRP gathers demonstrate that this workflow can comprehensively optimize pre-stack seismic data and improve SNR and resolution. Importantly, the quality controls guarantee results have improved accuracy in reservoir prediction and stronger correlation coefficients with well data.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135966591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0