Interpretation-A Journal of Subsurface Characterization最新文献

{"title":"Destruction mechanism of organic matter enrichment controlled by tectonism in the Lower Silurian organic-rich marine mudstone in the western South China Block","authors":"Tong Sun, Yiqing Zhu, B. Ran, Ke Liang, C. Luo, Yuyue Han","doi":"10.1190/int-2023-0006.1","DOIUrl":"https://doi.org/10.1190/int-2023-0006.1","url":null,"abstract":"This destruction mechanism of organic matter enrichment plays an important role in improving the mudstone sedimentary structure system. For the lower Silurian marine mudstone in the western South China Block, the destruction mechanism of organic matter enrichment is unclear, with previous studies ignoring the control from paleogeography and spatial differences. Lamination is a typical sedimentary structure in mudstone and different types of lamination in mudstones can reflect a range of depositional environments. Lenticular lamination, composed of arranged lenses of variable composition, is a common type of lamination in marine mudstone and mainly occurs in organic-lean mudstone (Schieber et al., 2010). The origin of lenticular lamination remains controversial, and a multidisciplinary approach is needed that integrates sedimentology, petrography, and paleogeography. The main objectives of this approach are to (1) interpret the formation mechanism of lenticular laminations in the Longmaxi marine mudstone, and (2) discuss the significance of lenticular lamination to organic matter destruction. The results not only allow for a complete understanding of the destruction mechanisms of the Silurian marine mudstones but also provide new insights into the sedimentary processes of marine mudstone.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48873673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Be aware of black geomagic: Revisiting L. W. Blau and Greg Hodges","authors":"V. Egorov, Antony Price","doi":"10.1190/int-2023-0420-fe.1","DOIUrl":"https://doi.org/10.1190/int-2023-0420-fe.1","url":null,"abstract":"<jats:p> </jats:p>","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45460491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics and controlling factors of petroliferous reservoirs in the Permian Lower Urho Formation, western Mahu Slope, Junggar Basin, NW China","authors":"Zhiyuan Fang, Weiguo Hao, Maidina Nuertai, F. Zhang, Beibei Mao, Naixiang He","doi":"10.1190/int-2022-0122.1","DOIUrl":"https://doi.org/10.1190/int-2022-0122.1","url":null,"abstract":"Numerous hydrocarbon discoveries in the Lower Urho Formation of the western Mahu Slope, China indicate that potential petroliferous reservoirs may exist in that region. However, issues concerning the reservoir characteristics and associated controlling factors remain unclear. To determine the characteristics and associated controlling factors of those reservoirs, an integrated analysis of three-dimensional seismic volume, wireline logs, mud logs, cores, thin sections, porosity, and permeability data was conducted. Several lithological types were identified from the core, casting thin section, and mud log data (including mudstone, sandstone, gravity flow-derived glutenite, transitional glutenite, and traction flow-derived glutenite). The contact relationship was determined from the casting thin section data, and it included point contact and lineal contact, followed by concavo-convex contact and suture contact. The dominant pore types were found to be intergranular pores, followed by intragranular pores, intramatrix pores, and cracks. The porosity and permeability data reveal that sandstone and traction flow-derived glutenite commonly form low-porosity and low-permeability reservoir, whereas transitional glutenite commonly forms low-porosity and ultralow-permeability reservoirs and gravity flow-derived glutenite generally forms low-porosity and ultralow-permeability reservoirs. This integrated analysis shows that tectonic movements and sedimentary environment control the physical properties of the reservoirs. The tectonic movements control reservoir characteristics through thrust fault systems and the large-scale provenance, and the sedimentary environment controls reservoir characteristics via facies distribution and lacustrine fluctuation. The insights gained from this study can provide knowledge about the characteristics and associated controlling factors of the reservoirs in the Permian Lower Urho Formation within the western Junggar Basin. These insights can also benefit petroleum reserve and hydrocarbon production exploration in the study area and further petroleum exploration in other areas with similar sedimentary/tectonic settings.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48937138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two new species of the genus <i>Asceua</i> Thorell, 1887 (Araneae, Zodariidae) from China.","authors":"Wei Wang, Yejie Lin, Xiaoqing Zhang, Chang Chu, Shuqiang Li, Chengming Huang","doi":"10.3897/BDJ.11.e103298","DOIUrl":"10.3897/BDJ.11.e103298","url":null,"abstract":"<p><strong>Background: </strong>The spider genus <i>Asceua</i> Thorell, 1887 contains 34 species, almost entirely limited to Indochina, India, Sri Lanka and China, with a regional distribution. Eleven species of <i>Asceua</i> are currently only known from China, five of them are described only from one sex.</p><p><strong>New information: </strong>Two new spider species of the genus <i>Asceua</i> are reported from China, <i>A.haocongi</i> sp. n. (♂♀, Hainan) and <i>A.zijin</i> sp. n. (♂♀, Jiangsu). Photos and a morphological description of the new species are provided.</p>","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":"58 1","pages":"e103298"},"PeriodicalIF":1.3,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10848484/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86955598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Yu’s wavelet and supervirtual seismic refraction interferometry to enhance first arrivals: A case study from Kuche Mountain","authors":"","doi":"10.1190/int-2022-0091.1","DOIUrl":"https://doi.org/10.1190/int-2022-0091.1","url":null,"abstract":"The signal-to-noise ratio (S/N) of the 3D seismic data in Kuche Mountain is poor, where the first-arrival events are overlapped with random and coherent noises due to the data set collected within a challenging environment with abrupt changes in the topographical elevation. Therefore, it is difficult to carry out first-arrival picking, which in turn affects the application of tomographic inversion and static correction in this area. To face this challenge, first-arrival filtering using Yu’s wavelet and first-arrival enhancement with supervirtual seismic refraction interferometry are applied in 3D seismic data processing on the data set collected from the Kuche Mountain area. The result finds that, by using these two techniques together, the first-arrival events can be recognized easily, the first-arrival times can be picked accurately, and the amount of picked events increases greatly.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48368652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of Permian Igneous Rocks and their Petroleum Geology Implications in the Northern Part of Central Sichuan, Sichuan Basin, China","authors":"Lei Tan, Hong Liu, Gang Zhou, Song Tang, Yunxian Zeng, M. Li, Minglong Li, Dan Hu","doi":"10.1190/int-2022-0079.1","DOIUrl":"https://doi.org/10.1190/int-2022-0079.1","url":null,"abstract":"Based on data from cores, cuttings, thin sections, and logging and seismic activities, the lithofacies, geophysical response, and spatial distribution characteristics of the Permian igneous rocks in the northern part of central Sichuan were analyzed and summarized. Furthermore, the eruption and filling processes of the igneous rocks were restored, and the hydrocarbon geologic significance of the volcanic eruption events was investigated. The results reveal that the igneous rocks in this area are volcanic overflow facies and sedimentary facies, with volcanic lava and pyroclastic rocks developed. Only one eruption cycle occurred vertically. The igneous rocks exhibit low natural gamma ray, low acoustic, high compensation neutron logging, high density, and high resistivity logging values. The seismic responses are characterized by multiaxial, flexural, and upward arching. The plane distribution shape is an inverted U, with a nearly east–west linear distribution. The igneous rocks in the area were emplaced via a fissure eruption along the basement faults in the early Longtan. The eruption-filling process can be roughly divided into four stages: the deposition of the Maokou Formation, the geomorphological embryonic stage, the geomorphological differentiation stage, and the volcanic eruption and filling stage. The underdevelopment of primary pores and the lack of dissolution in the later stage led to poor igneous reservoir performance, which limits the igneous reservoir hydrocarbon exploration prospect. However, the early faulting activity resulted in the differentiation of the Maokou Formation sedimentary and karst landforms. The thermodynamic conditions created by the later eruption of the igneous rocks, sufficient Mg2+ sources, and favorable geomorphological units laid a good foundation for the development of the dolomite reservoirs in the Maokou Formation. Among them, the karst slopes and highland areas of the Maokou Formation along the two sides of the strip of igneous rocks are dominant areas for the development of the dolomite reservoirs in the Maokou Formation.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49453398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultaneous seismic inversion study for channel sandstone identification, northern part of the Eastern Shelf, King County, North-Central Texas","authors":"O. Ogiesoba, Sarp Karakaya, Trey Cortez","doi":"10.1190/int-2022-0096.1","DOIUrl":"https://doi.org/10.1190/int-2022-0096.1","url":null,"abstract":"This paper documents the results of a prestack simultaneous seismic inversion conducted to investigate the Wolfcampian lower Tannehill sandstone channels within a mixed carbonate siliciclastic system in the northern Eastern Shelf in King County, North Central Texas. Previous exploration methods for the Tannehill sandstone were based largely on well-log correlation which, because of their widely spaced sample points, are not optimal for channel delineation. We have generated crossplots of P- and S-wave velocity ratios ( VP/ VS ratios) versus P-impedance to determine lithologic types. We then used 3D seismic data and wireline logs to implement a prestack simultaneous seismic inversion procedure to generate P- and S-impedances, density, and VP/ VS ratio volumes to identify the valley-fill Tannehill lowstand systems. Our results find that (1) based on impedance and density, the sandstone-rich channels can be easily separated from the carbonate-rich zones but are difficult to distinguish using VP/ VS. (2) Although there appeared to be several channel systems in the area of investigation, two of these, hereby referred to as channel A and channel B, are recognized to be the key contributors of sandstone sediments to the shelf edge, slope, and basin areas. (3) Of these two channels, channel A is the larger and highly sinuous; it is associated with a meander loop, a point bar, and an abandoned channel. At the point-bar location, channel A has a width of 890 m (2920 ft) and a depth of 29 m (94 ft). The point bar is structurally anticlinal and thus constitutes a potential exploration target. In contrast, channel B is less sinuous, without any associated point bar. It has a maximum depth and width of 23 m (75 ft) and 270 m (886 ft), respectively. Finally, the inversion results suggest that other potential Tannehill sandstone reservoirs may still be present elsewhere within King County.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43650467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to special section: Distributed fiber optic sensing","authors":"Shuang Zhang, V. Jayaram, G. Jin, V. Kazei, Yongzan Liu, A. Titov, M. Zeidouni, D. Zhu","doi":"10.1190/int-2023-0315-spseintro.1","DOIUrl":"https://doi.org/10.1190/int-2023-0315-spseintro.1","url":null,"abstract":"<jats:p> </jats:p>","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43798686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Amplitude variation with incidence and azimuth stepwise inversion with coherence-attribute-constraints for anisotropic parameters","authors":"L. Ji, Z. Zong, Kun Luo","doi":"10.1190/int-2022-0106.1","DOIUrl":"https://doi.org/10.1190/int-2022-0106.1","url":null,"abstract":"With the development of 5D seismic technology, the stable acquisition of anisotropy information from wide-azimuth seismic data has become a key scientific problem in the seismic inversion of fractured reservoirs. However, existing AVAZ inversion methods suffer from too many parameters to be estimated, large variation in contribution, and unstable inversions. Therefore, we develop an AVAZ inversion method with coherent attribute constraints to solve the problem of unstable inversion of anisotropic parameters. First, we use seismic coherent attributes to build a fracture equivalent probability model containing anisotropic information of the subsurface medium, which is used to simulate large-scale subsurface fractures and faults, thereby improving the reliability and stability of the anisotropic parameter inversion. We carry out the AVAZ inversion method in a Bayesian framework using wide-azimuth seismic data and introduce smoothing background model constraints to reduce the dependence of the inversion on the initial model and improve the stability of the inversion. Moreover, we add Gaussian and fracture probability distribution models to the objective function to improve the reasonableness and stability of the inversion. Then, through the analysis of the contribution of the estimated parameters, we found that the contribution of the isotropic parameters to the reflection coefficient is much larger than that of the anisotropic parameters to the reflection coefficient. Therefore, we developed a stepwise optimization-seeking inversion method for the isotropic and anisotropic parameters, which can reduce the number of the estimated parameters and thus improve the stability of the inversion of the anisotropic parameters. Field data show that this method produces suitable inversion results even at moderate levels of noise. Therefore, we can conclude that the proposed method has good applicability and stability in predicting the anisotropy parameters of fractured shale reservoirs.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47007756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-Deep Carbonate Reservoir Lithofacies Classification Based on Deep Convolutional Neural Network (CNN)- A Case Study in Tarim Basin, China","authors":"Sheng-yu Lu, Chuyang Cai, Zhi Zhong, Zhongxian Cai, Xu Guo, Zhang Heng, Jie Li","doi":"10.1190/int-2022-0020.1","DOIUrl":"https://doi.org/10.1190/int-2022-0020.1","url":null,"abstract":"Lithofacies identification is essential in reservoir evaluation, especially in ultradeep carbonate reservoirs. Generally, coring samples are the best sources to identify carbonate lithofacies because they were taken directly from reservoirs. However, core is expensive to obtain, and it is generally greatly limited in its availability. In recent years, deep learning has attracted enormous attention because of its robust nonlinear regression and classification ability. This study applies a deep learning algorithm to identify the lithofacies using geophysical well log data. Six types of well log data, including natural gamma-ray (GR), density (DEN), neutron porosity (CNL), acoustic (AC), and shallow and deep lateral resistivity well logs (RT/RXO), are smoothed by the average sliding method and converted to 2D data. Then, the two-dimensional data are treated as inputs to predict the carbonate lithofacies through the convolutional neural network (CNN). The results indicate that the prediction accuracy rate is 90.2%. It shows that the convolutional neural network can well identify different carbonate lithofacies.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48741818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}