{"title":"Correction to “Elastic properties of unconsolidated sandstones of interest for carbon storage”","authors":"","doi":"10.1111/1365-2478.70028","DOIUrl":"https://doi.org/10.1111/1365-2478.70028","url":null,"abstract":"<p>Sayers, C. M., & Dasgupta, S. (2024). Elastic properties of unconsolidated sandstones of interest for carbon storage. <i>Geophysical Prospecting</i>, 72(2), 617–632.</p><p>On line 17 of the abstract, “low shear compliance” should read “low shear stiffness.”</p><p>We apologize for this error.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1667"},"PeriodicalIF":1.8,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2478.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Baochun Li, Gaofeng Ye, Xiangguo Guo, Baoqiang Tai, Sheng Jin, Kuo Zhang, Shaohuai Sun, Cheng Gao, Jien Dong
{"title":"The Cu–Au–Mo deposit mineralization dynamics at the northern margin of the North China Craton and the southeastern margin of the Central Asian Orogenic Belt based on crustal oxide content","authors":"Baochun Li, Gaofeng Ye, Xiangguo Guo, Baoqiang Tai, Sheng Jin, Kuo Zhang, Shaohuai Sun, Cheng Gao, Jien Dong","doi":"10.1111/1365-2478.70031","DOIUrl":"https://doi.org/10.1111/1365-2478.70031","url":null,"abstract":"<p>The study of the mineralization dynamics of the Cu–Au–Mo deposit at the northern margin of the North China Craton and the southeastern margin of the Central Asian Orogenic Belt is important for understanding metallogenic settings. We calculated the crustal oxide content in heterogeneous systems using crustal temperature, seismic wave velocity (<i>V</i><sub>p</sub>), pressure and 1 wt.% water content. The oxide contents of SiO<sub>2</sub>, MgO, K<sub>2</sub>O and Na<sub>2</sub>O in the crust from 10 to 40 km depth were obtained. The Bohai Bay Basin, Yanshan Block and Songliao Basin in the eastern study area exhibit an upper mantle lithology characterized by low SiO<sub>2</sub> and high MgO at 40 km, suggesting that the lithosphere in this area has been thinned. The destruction of the lithosphere was accompanied by the upwelling of the asthenosphere and upper mantle and the underplating of the lower crust by thermal material. Eventually, the crust formed mineralized fluids rich in volatiles, metallic elements and high oxygen fugacity. There is a good correspondence between the mineralization, the medium acidic, high alkali and low Mg–Fe regions in the lower crust and the extensional settings. This suggests that extensional settings provided conditions for the circulation and deposition of metallogenic fluids. The dynamics of Cu–Au–Mo mineralization at the northern margin of the North China Craton are subduction and retreat of the Paleo–Pacific Plate, and the mode of mineralization is ‘Decratonic deposits’. Unlike the northern margin of the North China Craton, the Erguna and Xing'an blocks have a more basal and ancient lower crust, and their mineralization was not only influenced by the Okhotsk, Paleo-Asian and Paleo–Pacific plates but also related to later modifications.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1651-1666"},"PeriodicalIF":1.8,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2478.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guillermina Senn, Matthew Walker, Håkon Tjelmeland
{"title":"Scalable Bayesian seismic wavelet estimation","authors":"Guillermina Senn, Matthew Walker, Håkon Tjelmeland","doi":"10.1111/1365-2478.70026","DOIUrl":"https://doi.org/10.1111/1365-2478.70026","url":null,"abstract":"<div>\u0000 \u0000 <p>In seismic amplitude-versus-angle data, the forward model connecting the elastic properties with the data involves the convolution of seismic reflection coefficients with a wavelet. If the wavelet is erroneously specified, the modelled seismic will be biased and associated seismic inversion results will be difficult to trust. Therefore, it is of interest to estimate the wavelet from the observations, prior to the seismic inversion. An existing Bayesian estimation procedure proposes a Bayesian model for the problem and explores the posterior distribution with a Gibbs sampler algorithm. However, the algorithmic complexity scales non-linearly with the number of observations, thus limiting input data to elastic well-log data and seismic data at the well. We adopt a similar hierarchical Bayesian model but introduce a computationally efficient Gibbs sampler to allow estimation from large two-dimensional seismic images. The efficiency is obtained by embedding the seismic image in an extended cyclic lattice so that large matrices acquire circulant properties and expensive matrix operations can be done with the fast Fourier transform. We include results for simulated datasets and a real dataset from an offshore gas reservoir in Egypt.</p></div>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1635-1650"},"PeriodicalIF":1.8,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950546","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}
Sarah Beraus, Daniel Köhn, Thomas Bohlen, Thomas Burschil, Bennet Schuster, Hermann Buness, Gerald Gabriel
{"title":"Seismic crosshole full-waveform inversion of high-frequency SV-waves for glacial sediment characterization","authors":"Sarah Beraus, Daniel Köhn, Thomas Bohlen, Thomas Burschil, Bennet Schuster, Hermann Buness, Gerald Gabriel","doi":"10.1111/1365-2478.70024","DOIUrl":"https://doi.org/10.1111/1365-2478.70024","url":null,"abstract":"<p>We present a two-dimensional, high-resolution full-waveform inversion approach of crosshole seismic data to image fine glacial sediments in an overdeepened Alpine valley, the Tannwald Basin (ICDP site 5068_1) north of Lake Constance. A vertically polarizing shear-wave source is employed to excite elastic waves, which are recorded by an eight-station three-component geophone string at 105–134 m depth. Based on traveltime tomography models derived separately from the P- and S-wave first arrival picks, we reconstruct the vertically polarized shear-wave velocity distributions from the vertical component data using isotropic, elastic full-waveform inversion. In order to mitigate the effects of source and receiver coupling, we use the global correlation norm as an objective function. The resolution is enhanced by applying an anisotropic gradient filter. The final model shows small-scale structures that look similar to a structural image obtained by seismic imaging at frequencies above 200 Hz. It provides a satisfying data fit and resolves layers of at least 1 m thickness that correlate well with the lithology derived from the core information within the errors of the source and receiver positions.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1587-1605"},"PeriodicalIF":1.8,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2478.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ujjwal Shekhar, Morten Jakobsen, Ivan Pšenčík, Kui Xiang
{"title":"Seismic full waveform inversion for fracture parameters in anisotropic media","authors":"Ujjwal Shekhar, Morten Jakobsen, Ivan Pšenčík, Kui Xiang","doi":"10.1111/1365-2478.70025","DOIUrl":"https://doi.org/10.1111/1365-2478.70025","url":null,"abstract":"<div>\u0000 \u0000 <p>Vertical fractures are often reported in sedimentary rocks. The detection of these inherent fractures is important before carrying out the carbon dioxide sequestration in these rocks. The detection of the fractures is also crucial for an accurate estimation of the moment tensor from microseismic waveform data. In this study, we use the distorted Born iterative method to perform seismic full waveform inversion for the parameters of vertical fractures in sedimentary formations. The distorted Born iterative method is based on transforming a nonlinear inverse scattering problem into a series of linear inverse problems by using the distorted Born approximation. We work in the frequency domain and use a volume integral equation method to solve the direct scattering problem. A heterogeneous, generally anisotropic medium, is iteratively updated using the matrix-free formulation of Fréchet derivatives and their adjoint. In the distorted Born iterative method, the heterogeneous medium Green's function is also updated after each iteration, which is not done in the classical Born iterative method. In our implementation, we assume that the fractures are thin, vertical and parallel to each other. The background, in which fractures are embedded, is transversely isotropic with a vertical axis of symmetry. The vertically transversely isotropic background can be inhomogeneous. In an isotropic background, it is common to invert for a single tangential fracture weakness along with a normal fracture weakness. However, in a vertically transversely isotropic background, the horizontal-tangential and the vertical-tangential fracture weaknesses vary, and therefore we invert for three fracture weaknesses. In numerical experiments, we employ a cross-hole seismic configuration and invert synthetic waveform data for fracture weaknesses. The radiation pattern analysis is performed to investigate the cross-talk among different fracture weaknesses. It is found that the horizontal-tangential fracture weakness is better resolved than the other fracture weaknesses, which is confirmed through the numerical results.</p></div>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1606-1634"},"PeriodicalIF":1.8,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950233","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}
Hanbing Ai, Arkoprovo Biswas, Yunus Levent Ekinci, Çağlayan Balkaya, Ahmad Alvandi, Yue Shen, Zhuofan Liu, Arka Roy, Kejia Su
{"title":"Horizontal loop electromagnetic data inversion through novel metaheuristics and its applications to ore deposit explorations","authors":"Hanbing Ai, Arkoprovo Biswas, Yunus Levent Ekinci, Çağlayan Balkaya, Ahmad Alvandi, Yue Shen, Zhuofan Liu, Arka Roy, Kejia Su","doi":"10.1111/1365-2478.70027","DOIUrl":"https://doi.org/10.1111/1365-2478.70027","url":null,"abstract":"<p>The success of horizontal loop electromagnetic method in determining ore body model parameters is intricately tied to the inversion process. However, geophysical inverse problems often grapple with ill-posed and non-unique mathematical difficulties. To handle this situation, we presented two new metaheuristics: the Barnacles Mating Optimizer and the Hunger Games Search algorithm. This pioneering approach is the first in the literature to employ both optimizers simultaneously to invert electromagnetic anomalies. To test the core functionality of these inversion tools, we simplified the horizontal loop electromagnetic problem by using a single frequency. Before carrying out the data inversions, a synthetic anomaly caused by a simple multi-source model was used to perform some modal analyses. These analyses revealed the composite modality character of the inversion process and highlighted the necessity of an algorithm that effectively balances global exploration (thoroughly searching the model space while avoiding local minima) and local exploitation, which focuses on approximating the global optimum closely. In addition, the findings indicated the importance of conducting post-inversion analyses to evaluate potential uncertainties in the estimations. Initial experiments with nine challenging benchmark functions revealed that Hunger Games Search outperforms in tackling optimization problems. The performances of both algorithms were then examined using synthetic horizontal loop electromagnetic anomalies and two field data sets from Australia. To achieve a balanced comparison, we fine-tuned the control parameters of both algorithms, optimizing their performance under comparable conditions. These assessments provided valuable insights into the effectiveness of each algorithm when properly configured. Uncertainty appraisal analyses mostly confirmed the consistency and mathematical consistency of the obtained solutions. In the real data inversion cases, the outputs of Hunger Games Search showed strong agreement with the drilling data. This study illustrates the stronger performance of the Hunger Games Search algorithm relative to Barnacles Mating Optimizer in the presented scenarios and demonstrates its effectiveness in estimating source parameters using horizontal loop electromagnetic anomalies.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1566-1586"},"PeriodicalIF":1.8,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950265","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}
Zhang Jia, Chen Hui, Hu Ying, Chen Xuping, Xie Yutao
{"title":"Two-dimensional transient-extracting transform for characterization of complex tight channel reservoirs","authors":"Zhang Jia, Chen Hui, Hu Ying, Chen Xuping, Xie Yutao","doi":"10.1111/1365-2478.70023","DOIUrl":"https://doi.org/10.1111/1365-2478.70023","url":null,"abstract":"<div>\u0000 \u0000 <p>As one of the most promising types of tight oil and gas reservoirs for continental sedimentation in China, complex tight channel reservoirs have important research significance. However, this type of reservoir is characterized by thin sand bodies, vertical multistage development, complex lateral changes and tight lithology, making their exploration and development extremely difficult. We propose a new time–frequency analysis method termed the two-dimensional transient-extracting transform, which introduces a space–time window to capture the lateral information of seismic signals. This paper defines a two-dimensional transient-extracting operator, which provides highly concentrated time–frequency representations for transient signals with time–frequency curves almost parallel to the time and space axes. Then, on the basis of the relationship between the frequency and wavenumber, the wavenumber parameter is determined through two-dimensional transient-extracting transform energy maximization. Finally, a laterally continuous and energy-concentrated time–frequency spectrum is obtained. Compared with the other methods, the proposed method results in better lateral continuity, more concentrated energy and the ability to clearly differentiate thin stacked seismic reflections, enabling precise characterization of the channels. The wedge model and actual data show that the proposed method can describe the morphology of complex tight channel sand bodies more clearly and reliably than other methods.</p>\u0000 </div>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1552-1565"},"PeriodicalIF":1.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950122","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}
Jiho Park, Sooyoon Kim, Soon Jee Seol, Joongmoo Byun
{"title":"Improving generalization performance of deep learning–based seismic data interpolation","authors":"Jiho Park, Sooyoon Kim, Soon Jee Seol, Joongmoo Byun","doi":"10.1111/1365-2478.70020","DOIUrl":"https://doi.org/10.1111/1365-2478.70020","url":null,"abstract":"<p>Seismic data interpolation techniques are vital for preprocessing, as spatial undersampling in seismic data presents processing challenges. Recently, multiple deep learning–based interpolation techniques have emerged, each catering to distinct missing data scenarios, including regular, irregular or large gaps. However, this standardized approach can induce a creeping overfitting issue in terms of various missing types, notably undermining the generalization capability of trained deep learning models. It is worthy of serious consideration for performance generalization of deep learning–based trace interpolation in terms of various missing patterns. This study introduces an innovative approach, redefining deep learning–based seismic data interpolation to focus on enhancing generalized performance be treating unseen data. We highlight how data biases in the training dataset substantially impair interpolation performance on target data with varying features. Then we offer some guidelines to counter these biases during training dataset construction. Furthermore, we propose a versatile, single deep learning model applicable to any case of missing data in real-field situations, utilizing U-Net3+ as the backbone. Experiments using field data considering various missing scenarios reveal that our method excels in interpolating unseen target data; it does this by using an unbiased dataset, bolstering general interpolation performance. This study emphasizes the importance of a systematically designed training dataset to augment generalization in deep learning–based interpolation and indicates the need for more comprehensive research to create a universally applicable deep learning–based seismic data interpolation network for practical use.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1534-1551"},"PeriodicalIF":1.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2478.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Conrad Koch, Kazunori Fujisawa, Anandaroop Ray
{"title":"Bayesian trans-dimensional soil behaviour type inference using conditional posterior proposals","authors":"Michael Conrad Koch, Kazunori Fujisawa, Anandaroop Ray","doi":"10.1111/1365-2478.70021","DOIUrl":"https://doi.org/10.1111/1365-2478.70021","url":null,"abstract":"<p>Identification of subsurface geological profiles is indispensable to geotechnical design and construction. Subsurface stratification through Bayesian inversion of soil behaviour type index data, obtained from cone penetration tests, is achieved through the development of a novel three-block Markov chain Monte Carlo algorithm. Working in a trans-dimensional context, where the number of layers, layer depths and soil random field parameters are unknown, the algorithm is able to estimate the range of non-unique solutions or the uncertainty of these parameters. A blocking strategy has been applied that allows for the development of a formulation that primarily involves computationally inexpensive tasks such as sampling from truncated normal and Inv-Gamma distributions and evaluation of general normal densities. Part of this strategy involves the design of a novel proposal density for jumping between parameter spaces of different dimensions in the reversible jump Markov chain Monte Carlo applied in the first block. Optimal sampling in trans-dimensional problems with a single reversible jump Markov chain using random walk Metropolis–Hastings proposals is often difficult and requires ad hoc concatenation of multiple independent chains or sophisticated methods like parallel tempering or delayed rejection. The formulation presented in this study renders the conditional posterior density over the mean of the random field representing the soil parameters to be analytical, thereby allowing the corresponding proposals to be made directly from the conditional posterior. Hence, unlike most other existing algorithms, we avoid random walks altogether by sampling from the conditional posterior distribution directly. The algorithm is validated using synthetic and real soil behaviour type index data from benchmark problems. A standard normality check of the decorrelated residuals is used as a measure to test algorithm performance. Results show that the algorithm is able to identify the soil stratification parameters and random field properties correctly and also identify their uncertainties.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1510-1533"},"PeriodicalIF":1.8,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2478.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiewei Shu, Yunhe Liu, Changchun Yin, Xiuyan Ren, Bo Zhang, Yang Su, Zhihao Rong, Laonao Wei, Zhiyuan Ke
{"title":"Monitoring waterflooding front based on the three-dimensional direct-current method with steel casing","authors":"Jiewei Shu, Yunhe Liu, Changchun Yin, Xiuyan Ren, Bo Zhang, Yang Su, Zhihao Rong, Laonao Wei, Zhiyuan Ke","doi":"10.1111/1365-2478.70002","DOIUrl":"https://doi.org/10.1111/1365-2478.70002","url":null,"abstract":"<p>When using electrical prospecting methods to monitor the front edge of waterflooding in the residual oil development, the electromagnetic responses generated by the high conductivity of the steel casing in the observation area usually obscure the electrical abnormal signal of the formation caused by waterflooding, largely affecting the imaging accuracy. Considering the densely distributed casing wells in the working area, we propose a novel method that steel casing serves as paths not only for transmitting, but also transferring the waterflooding front signals to the observations that are carried out on the surface. As the electric signals going through the steel casing have nearly zero attenuation, we can effectively observe the weak electric signals of underground waterflooding fluids at the surface receivers. To achieve a high-precision simulation of steel casings, we used an electrical conductivity equivalent method to overcome the problem of excessively large comparative geometrical dimensions. Meanwhile, we utilized unstructured tetrahedral grids to accurately model the irregular shape of waterflooding fluids migration. Based on numerical experiments, we analysed the effects of source type, location, and waterflooding depth on the conduction effect of steel casing, confirming that our method can effectively monitor the migration of waterflooding and capture the boundary of the waterflooding front edge.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"73 5","pages":"1471-1487"},"PeriodicalIF":1.8,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949723","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}