Petroleum Science最新文献

{"title":"Comparative analysis of rock breakage characteristics and failure mode on conventional and conical PDC cutter cutting carbonate","authors":"Xin-Kang Fu ,&nbsp;Chao Xiong ,&nbsp;Huai-Zhong Shi ,&nbsp;Wen-Hao He ,&nbsp;Lu-Hai Wang ,&nbsp;Zhong-Wei Huang","doi":"10.1016/j.petsci.2024.12.016","DOIUrl":"10.1016/j.petsci.2024.12.016","url":null,"abstract":"<div><div>The oil and gas stored in deep and ultra-deep carbonate reservoirs is the focus of future exploration and development. Conical PDC (Polycrystalline Diamond Compact) cutter, which is a new kind of PDC cutter, can significantly improve the rate of penetration (ROP) and extend PDC bit life in hard and abrasive formations. However, the breakage characteristics and failure mode of the conical PDC cutter cutting carbonate rock is still masked. In this paper, a series of single-cutter cutting tests were carried out with the conical and conventional PDC cutters. The cutting force, rock-breaking process, surface morphology of cutting grooves and cuttings characteristic were analyzed. Based on the derived formula of the brittle fracture index, the failure model of carbonate rock was quantitatively analyzed under the action of conical and conventional cutter. The results show that the average cutting force of the conical cutter is less than that of the conventional cutter, which means greater stability of the cutting process using the conical cutter. Carbonate rock with calcite as the main component tends to generate blocky rock debris by conical cutter. The height of the cuttings generated by the conical cutter is 0.5 mm higher than that generated by the conventional cutter. The conical cutter exhibits enhanced penetration capabilities within carbonate rock. The accumulation of rock debris in front of the conventional cutter is obvious. Whereas, the conical cutter facilitates the cuttings transport, thereby alleviating drilling stickiness slip. At different cutting depths, the conical cutter consistently causes asymmetric jagged brittle tensile fracture zones on both sides of the cutting groove. Calculations based on the brittle fracture index demonstrate that the brittle fracture index of the conical cutter generally doubles that of the conventional cutter. For carbonate rock, the conical cutter displays superior utilization of brittle fracture abilities. The research findings of this work offer insights into the breakage process and failure mode of carbonate rock by the conical cutter.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 821-834"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental investigation of hybrid enhanced oil recovery techniques for Ugnu Heavy Oil on Alaska North Slope","authors":"Temitope Fred Ogunkunle ,&nbsp;Hyun Woong Jang ,&nbsp;Asad Hassan Syed ,&nbsp;Rian Billings ,&nbsp;Lixing Lin ,&nbsp;Yin Zhang ,&nbsp;Abhijit Dandekar","doi":"10.1016/j.petsci.2024.11.005","DOIUrl":"10.1016/j.petsci.2024.11.005","url":null,"abstract":"<div><div>The Alaska North Slope (ANS) is endowed with a substantial reservoir of heavy oil, estimated at 12–18 billion barrels, primarily concentrated within the Ugnu reservoirs. These deposits, situated at depths ranging from 2000 to 4000 feet, lie in close proximity to the permafrost and have undergone biodegradation, resulting in in-situ viscosities reaching thousands of centipoise. Following the success in recovering the somewhat less heavy, viscous oils through polymer injection, the deposits in Ugnu Formation are garnering significant interest. Although thermal recovery methods are commonplace for heavy oils, applying these methods on ANS is impractical, given the adjacency to continuous permafrost. Therefore, non-thermal hybrid enhanced oil recovery (cEOR) methods, such as solvent (e.g., CO₂) and low salinity water (LSW), or LSW and polymer-based techniques, emerge as the primarily feasible options for recovering these vast heavy oil resources. This study experimentally investigates, via systematically carried out fluid property and phase behavior tests and a series of sand-pack coreflood experiments, the potential to enhance the recovery of Ugnu heavy oils. The coreflood experiments reveal the synergistic effect of combining liquid-CO₂ with LSW to be the most promising approach in this study as a water alternating gas (WAG) process results in the cumulative recovery factor of 83.5%, doubling the recovery obtained by continuous low salinity waterflood. Additionally, the liquid-CO₂-LSW WAG process demonstrated an additional benefit for CO₂ storage, with about 25% of the pore volume of the liquid-CO₂ injected being sequestered at the end of the injection process. This significant recovery improvement is attributed to a substantial reduction of oil viscosity upon contact with the liquid CO₂ during the soaking period, with a reduction of up to 95% of the original oil viscosity. Meanwhile, in-situ emulsion generation was observed in the oil produced from the continuous LSW flooding. This was also evident by the increased differential pressure across the sand-pack compared to that of the liquid-CO₂ alternating LSW process. The promising results of this study indicate significant potential for liquid-CO₂ alternating LSW injection as an effective cEOR technique for Ugnu heavy oils.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 710-723"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning approaches for assessing stability in acid-crude oil emulsions: Application to mitigate formation damage","authors":"Sina Shakouri ,&nbsp;Maysam Mohammadzadeh-Shirazi","doi":"10.1016/j.petsci.2024.09.013","DOIUrl":"10.1016/j.petsci.2024.09.013","url":null,"abstract":"<div><div>The stability of acid-crude oil emulsion poses manifold issues in the oil industry. Experimentally evaluating this phenomenon may be costly and time-consuming. In contrast, machine learning models have proven effective in predicting and evaluating various phenomena. This research is the first of its kind to assess the stability of acid-crude oil emulsion, employing various classification machine learning models. For this purpose, a data set consisting of 249 experimental data points belonging to 11 different crude oil samples was collected. Three tree-based models, namely decision tree (DT), random forest (RF), and categorical boosting (CatBoost), as well as three artificial neural network models, namely radial basis function (RBF), multi-layer perceptron (MLP) and convolutional neural network (CNN), were developed based on the properties of crude oil, acid, and protective additive. The CatBoost model obtained the highest accuracy with 0.9687, followed closely by the CNN model with 0.9673. In addition, confusion matrix findings showed the superiority of the CatBoost model. Finally, by applying the SHapley Additive exPlanations (SHAP) method to analyze the impact of input parameters, it was found that the crude oil viscosity has the most significant effect on the model's output with the mean absolute SHAP value of 0.88.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 894-908"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on multi-wave joint elastic modulus inversion based on improved quantum particle swarm optimization","authors":"Peng-Qi Wang ,&nbsp;Xing-Ye Liu ,&nbsp;Qing-Chun Li ,&nbsp;Yi-Fan Feng ,&nbsp;Tao Yang ,&nbsp;Xia-Wan Zhou ,&nbsp;Xu-Kun He","doi":"10.1016/j.petsci.2024.10.006","DOIUrl":"10.1016/j.petsci.2024.10.006","url":null,"abstract":"<div><div>Young's modulus and Poisson's ratio are crucial parameters for reservoir characterization and rock brittleness evaluation. Conventional methods often rely on indirect computation or approximations of the Zoeppritz equations to estimate Young's modulus, which can introduce cumulative errors and reduce the accuracy of inversion results. To address these issues, this paper introduces the analytical solution of the Zoeppritz equation into the inversion process. The equation is re-derived and expressed in terms of Young's modulus, Poisson's ratio, and density. Within the Bayesian framework, we construct an objective function for the joint inversion of PP and PS waves. Traditional gradient-based algorithms often suffer from low precision and the computational complexity. In this study, we address limitations of conventional approaches related to low precision and complicated code by using Circle chaotic mapping, Lévy flights, and Gaussian mutation to optimize the quantum particle swarm optimization (QPSO), named improved quantum particle swarm optimization (IQPSO). The IQPSO demonstrates superior global optimization capabilities. We test the proposed inversion method with both synthetic and field data. The test results demonstrate the proposed method's feasibility and effectiveness, indicating an improvement in inversion accuracy over traditional methods.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 670-683"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction of a foaming agent containing hydroxysulfobetaine and α-olefin sulfonate for clastic reservoirs with high temperature and high salinity","authors":"Long-Jie Li ,&nbsp;Ji-Jiang Ge ,&nbsp;Peng-Fei Chen ,&nbsp;Peng-Ju Chu","doi":"10.1016/j.petsci.2024.11.011","DOIUrl":"10.1016/j.petsci.2024.11.011","url":null,"abstract":"<div><div>High-temperature and high-salt reservoirs are often accompanied by serious gas channeling in gas flooding, which will greatly affect the effect of gas injection development, so in-situ foaming of temperature-resistant and salt-resistant foaming agents is commonly used to control gas channeling. The feasibility of the compound system of dodecyl hydroxyl sulfobetaine (HSB12) and <em>α</em>-olefin sulfonate (AOS) as foaming agent for sandstone reservoir was studied at 130 °C and 22 × 10⁴ mg/L. The results showed that the foaming agent (HSB12 and AOS were compounded in a 6:1 mass ratio, in this article, this foaming agent is simply referred to as SA61) had good solubility in 22 × 10⁴ mg/L simulated formation water. Besides, the foaming volume of SA61 and HSB12 was similar, but the foam decay half-life of SA61 was 10–25 times higher than that of HSB12. The foaming performance of SA61 on the surface of quartz sand remained above 90% of that before adsorption. The strong interaction between HSB12 and AOS in the compound system SA61 was demonstrated by surface rheological measurements and NMR studies of surfactants. The results of core flow test showed that SA61 had better mobility control ability than HSB12 under the same surfactant concentration. In addition, SA61 showed a selective mobility reduction in 2005.30 and 632.00 mD cores. The above research results can guide the selection and application of foaming agent in clastic reservoir.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 771-786"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geochemistry and formation conditions of the Domanik sediments (Semiluksk horizon) in the Volga-Ural petroleum province, Russia","authors":"Alexey Khayuzkin ,&nbsp;Vladimir Morozov ,&nbsp;Anton Kolchugin ,&nbsp;Yousef Ibrahem ,&nbsp;Eduard Korolev ,&nbsp;Alexey Eskin ,&nbsp;Timur Zakirov ,&nbsp;Evgeniya Morozova ,&nbsp;Nafis Nazimov ,&nbsp;Flera Gazeeva","doi":"10.1016/j.petsci.2024.12.021","DOIUrl":"10.1016/j.petsci.2024.12.021","url":null,"abstract":"<div><div>The study reconstructs the Upper Devonian Domanik sedimentation conditions using geochemical studies. Domanik sediments, the subject of study, are being developed in Russia's Volga-Ural petroleum province. Core samples have been collected from the South Tatar arch and the Birskaya saddle, totaling four wells. Macroscopic description, optical microscopic petrographic examination, X-ray analysis, X-ray fluorescence analysis, inductively coupled plasma mass spectrometry (ICP-MS), simultaneous thermal analyses, scanning electronic microscopy (SEM), Rock-Eval pyrolytic studies, and correlation analysis were among the methods used in the study. Carbonate rocks, carbonate-siliceous rocks enriched with organic matter, and carbonate breccias are the main identified lithotypes. The predominant rock-forming mineral in carbonate-siliceous rocks enriched with organic matter is quartz (chalcedony) of authigenic genesis. The lack of correlation between organic matter concentration and quartz, as well as the results of simultaneous thermal studies and SEM, suggest that quartz is present in both biogenic and chemogenic forms. The proxies Cd/Mo and Co × Mn were used for proving variable hydrodynamic conditions in the Domanik sediments sea: sediments were deposited under both stationary and seasonal upwelling conditions. The major bioproductivity of the Domanik sea was also influenced by hydrothermal activity. The proxy (Fe + Mn)/Ti data and the results of the rock genesis evaluation using the Zn-Ni-Co triangle diagram confirm this. The presence of hydrothermal fluids not only improved primary production in the paleobasin, but it additionally provided silica, as evidenced by the strong relationship between silica and exhalation components in carbonate-siliceous rocks. Volcanic activity had a slight impact on Domanik sediment genesis. Anoxia and euxinia in the Domanik sea were indicated by proxy U/Th-TOC and V/Cr-TOC data, as well as behavior of U-EF and Mo-EF on the covariation plot, which influenced organic matter burial in the sediments. Simultaneously, the terrigenous intake was limited. Carbonate breccias, which are common in the Domanik sediments section, developed as a result of the gravitational transfer of carbonate fragments into the carbonate-siliceous material, which might be driven by earthquakes.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 607-626"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular transformation of heavy oil during slurry phase hydrocracking process: Influences of operational conditions","authors":"Jing-Man Lu ,&nbsp;Yuan-Feng Wang ,&nbsp;Zhi-Yuan Zhou ,&nbsp;Jian-Xun Wu ,&nbsp;Ya-He Zhang ,&nbsp;Lin-Zhou Zhang ,&nbsp;Quan Shi ,&nbsp;Sheng-Bao He ,&nbsp;Chun-Ming Xu","doi":"10.1016/j.petsci.2024.09.002","DOIUrl":"10.1016/j.petsci.2024.09.002","url":null,"abstract":"<div><div>The influences of reaction temperature, duration, pressure, and catalyst concentration on the molecular transformation of residual slurry phase hydrocracking process were investigated. The molecular composition of the heteroatom compounds in the residue feedstock and its upgrading products were characterized using high-resolution Orbitrap mass spectrometry coupled with multiple ionization methods. The simultaneous promotion of cracking and hydrogenation reactions was observed with increasing of the reaction temperature and time. Specifically, there was a significant increase in the cracking degree of alkyl side chain, while the removal of low-condensation sulfur compounds such as sulfides and benzothiophenes was enhanced. In particular, the cracking reactions were more significantly facilitated by high temperatures, while an appropriately extended reaction time can result in the complete elimination of the aforementioned sulfur compounds with a lower degree of condensation. Under conditions of low hydrogen pressure and catalyst concentration, the products still exhibit a high relative abundance of easily convertible compounds such as sulfoxides, indicating a significant deficiency in the effectiveness of hydrogenation. The hydrogen pressure exhibits an optimal value, beyond which further increments have no effect on the composition and performance of the liquid product but can increase the yield of the liquid product. At significantly high catalyst concentration, the effect of desulfurization and deoxidation slightly diminishes, while the aromatic saturation of highly condensed compounds was notably enhanced. This hydrogenation saturation effect cannot be attained through manipulation of other operational parameters, thereby potentially benefiting subsequent product processing and utilization. This present study demonstrates a profound comprehension of the molecular-level residue slurry phase hydrocracking process, offering not only specific guide for process design and optimization but also valuable fundamental data for constructing reaction models at the molecular level.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 884-893"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OFC","authors":"","doi":"10.1016/S1995-8226(25)00029-9","DOIUrl":"10.1016/S1995-8226(25)00029-9","url":null,"abstract":"","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Page OFC"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Carbon dioxide storage and cumulative oil production predictions in unconventional reservoirs applying optimized machine-learning models","authors":"Shadfar Davoodi ,&nbsp;Hung Vo Thanh ,&nbsp;David A. Wood ,&nbsp;Mohammad Mehrad ,&nbsp;Sergey V. Muravyov ,&nbsp;Valeriy S. Rukavishnikov","doi":"10.1016/j.petsci.2024.09.015","DOIUrl":"10.1016/j.petsci.2024.09.015","url":null,"abstract":"<div><div>To achieve carbon dioxide (CO₂) storage through enhanced oil recovery, accurate forecasting of CO₂ subsurface storage and cumulative oil production is essential. This study develops hybrid predictive models for the determination of CO₂ storage mass and cumulative oil production in unconventional reservoirs. It does so with two multi-layer perceptron neural networks (MLPNN) and a least-squares support vector machine (LSSVM), hybridized with grey wolf optimization (GWO) and/or particle swarm optimization (PSO). Large, simulated datasets were divided into training (70%) and testing (30%) groups, with normalization applied to both groups. Mahalanobis distance identifies/eliminates outliers in the training subset only. A non-dominated sorting genetic algorithm (NSGA-II) combined with LSSVM selected seven influential features from the nine available input parameters: reservoir depth, porosity, permeability, thickness, bottom-hole pressure, area, CO₂ injection rate, residual oil saturation to gas flooding, and residual oil saturation to water flooding. Predictive models were developed and tested, with performance evaluated with an overfitting index (OFI), scoring analysis, and partial dependence plots (PDP), during training and independent testing to enhance model focus and effectiveness. The LSSVM-GWO model generated the lowest root mean square error (RMSE) values (0.4052 MMT for CO₂ storage and 9.7392 MMbbl for cumulative oil production) in the training group. That trained model also exhibited excellent generalization and minimal overfitting when applied to the testing group (RMSE of 0.6224 MMT for CO₂ storage and 12.5143 MMbbl for cumulative oil production). PDP analysis revealed that the input features “area” and “porosity” had the most influence on the LSSVM-GWO model's prediction performance. This paper presents a new hybrid modeling approach that achieves accurate forecasting of CO₂ subsurface storage and cumulative oil production. It also establishes a new standard for such forecasting, which can lead to the development of more effective and sustainable solutions for oil recovery.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 1","pages":"Pages 296-323"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Three-dimensional internal multiple elimination in complex structures using Marchenko autofocusing theory","authors":"Pei-Nan Bao ,&nbsp;Ying Shi ,&nbsp;Xin-Min Shang ,&nbsp;Hong-Xian Liang ,&nbsp;Wei-Hong Wang","doi":"10.1016/j.petsci.2024.07.023","DOIUrl":"10.1016/j.petsci.2024.07.023","url":null,"abstract":"<div><div>Internal multiples are commonly present in seismic data due to variations in velocity or density of subsurface media. They can reduce the signal-to-noise ratio of seismic data and degrade the quality of the image. With the development of seismic exploration into deep and ultradeep events, especially those from complex targets in the western region of China, the internal multiple eliminations become increasingly challenging. Currently, three-dimensional (3D) seismic data are primarily used for oil and gas target recognition and drilling. Effectively eliminating internal multiples in 3D seismic data of complex structures and mitigating their adverse effects is crucial for enhancing the success rate of drilling. In this study, we propose an internal multiple prediction algorithm for 3D seismic data in complex structures using the Marchenko autofocusing theory. This method can predict the accurate internal multiples of time difference without an accurate velocity model and the implementation process mainly consists of several steps. Firstly, simulating direct waves with a 3D macroscopic velocity model. Secondly, using direct waves and 3D full seismic acquisition records to obtain the upgoing and downgoing Green's functions between the virtual source point and surface. Thirdly, constructing internal multiples of the relevant layers by upgoing and downgoing Green's functions. Finally, utilizing the adaptive matching subtraction method to remove predicted internal multiples from the original data to obtain seismic records without multiples. Compared with the two-dimensional (2D) Marchenko algorithm, the performance of the 3D Marchenko algorithm for internal multiple prediction has been significantly enhanced, resulting in higher computational accuracy. Numerical simulation test results indicate that our proposed method can effectively eliminate internal multiples in 3D seismic data, thereby exhibiting important theoretical and industrial application value.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 1","pages":"Pages 222-233"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141850484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}