Year:

  1. Multiple Trend Integration Method Based on Depositional Model and its Application in Glutenite Reservoir Modeling.Shaohua Li, Mengjiao Dou, Jinbiao Yu, Jinghua Shi & Siyu Yu - 2023 - Interpretation 11 (1):SA77-SA91.
    Strong heterogeneity, complicated lithology, and chaotic seismic reflection characteristics are all common features of glutenite reservoirs. It is challenging to pinpoint the interior lithology and quantitatively describe the heterogeneity of the single-stage glutenite. To explore the distribution and superimposition features of subaqueous fans, the upper Es4 in the Y229 region of Dongying sag was used as an example. We have developed a multitrend fusion constraint modeling method based on deposition patterns. First, the truncated Gaussian simulation method is used to establish (...)
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  2. Multiple Seismic Attributes Fusion Approach with Support Vector Regression and Forward Simulation for Sand Body Prediction and Sedimentary Facies Interpretation — A Case of the X Gas Field in Xihu Sag.Yuming Liu, Pengfei Xie, Dongping Duan, Yuanrong Yao, Peipei Liu, Wenjun Li, Bo Chen, Wei Wang & Jiagen Hou - 2023 - Interpretation 11 (1):SA33-SA45.
    Marine exploration and production play a vital role in petroleum industries. It is difficult to acquire sufficient well data in marine settings, so seismic data become the most important interpretation data in research. In general, the seismic data in marine exploration have low quality because of the deep depth from the surface. To partly address this, the support vector regression algorithm is proposed to fuse multiple seismic attributes for sand thickness prediction. First, we use forward modeling to establish virtual wells (...)
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  3. Nonstationary Training Image Partition Algorithm Based on Deep Features.Linye Su, Siyu Yu, Shaohua Li & Xixin Wang - 2023 - Interpretation 11 (1):SA93-SA104.
    Training image is a key input of multipoint geostatistical modeling. For modeling sedimentary facies under nonstationary conditions, it is common to first generate nonstationary TIs, then use a partitioned simulation approach, and finally merge the realizations of each subregion. We develop a new method for partitioning nonstationary TIs based on features extracted using a deep network model. The basic idea of the method is to crop a TI with a sliding window to obtain the subblocks of the TI and use (...)
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  4.  1
    Sharp Change of the Channel Bar Pattern Within the River Delta: Insights From Modern Ganjiang River Delta in Jiangxi Province, China.Zhenhua Xu, Shuo Yang, Tianyou Zhang, Shenghe Wu, Ke Zhang, Mei Chen, Zheng Yang, Zijie Gao & Changmin Zhang - 2023 - Interpretation 11 (1):SA105-SA114.
    Channel bars in river deltas present challenges to water transportation; meanwhile, they provide a source of building materials, habitats, and farmlands, and they could become targets in hydrocarbon reservoirs. Researchers focus on the channel bar pattern in rivers, while ignoring the channel bar pattern in distributary channels. We have analyzed a sharp change of the channel bar pattern from the river to the delta. The integration of remote map analysis, fieldwork, and a flume experiment has resulted in a quantified sharp (...)
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  5.  1
    Sand Architecture Interpretation and Modeling with Few Wells in the Offshore — Case Study of X36 Area in the Xihu Depression, East China Sea, China.Chunjing Yan, Xixin Wang, Shaohua Li, Dongping Duan, Yinghui Liu & Bin Zhao - 2023 - Interpretation 11 (1):SA1-SA11.
    The sand architecture interpretation and modeling of the different orders of sedimentary bodies are of great significance for the efficient development of the unconventional reservoir. However, sand architecture interpretation and modeling using a small amount of observation information are extraordinarily difficult. We took the X36 gas field in Xihu Sag as an example to study the distribution and superimposition characteristics of sandbodies under the influence of tides. We proposed a set of architecture characterization and modeling methods suitable for the condition (...)
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  6.  1
    Mapping the Facies and Geomorphology of Igneous Bodies by Integrating Multiple Disciplines Data: A Case Study of the BZ-A Oilfield, Bohai Bay Basin, China.Zhijun Yin, Bo Zhang, Chao Li, Shaopeng Wang, Mingzhe Cui & Hui Chen - 2023 - Interpretation 11 (1):SA13-SA32.
    The BZ-A oilfield is one of the significant discoveries within the Huanghekou Sag, the southern Bohai Sea Basin, China, and the reservoirs of the BZ-A oilfield were deposited in the Paleogene period. Unfortunately, the spatial continuity of the Paleogene clastic reservoirs of the BZ-A oilfield was destroyed by the widely distributed igneous rocks. Characterizing those “isolated” clastic geobodies is the main task in the exploration and production phases. The exploration wells within the BZ-A oilfield demonstrate that the size of the (...)
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  7. Analysis of the Main Controlling Factors and the Distribution Rules of Effective Reservoirs in Sandy Braided River Delta Plain — A Case Study of Ct3 Area, Ordos Basin, China.Naidan Zhang, Shaohua Li, Xixin Wang, Zhi Guo & Bo Liang - 2023 - Interpretation 11 (1):SA63-SA75.
    To clarify the main controlling factors of effective reservoirs in the sandy braided river delta plain, the eighth member of Xiashihezi Formation in the Ct3 area, Ordos Basin, is taken as an example. We describe and analyze approximately 600 cores in detail and correspond the cores on the logging curve. We summarize the logging facies mode suitable for the Ct3 area, and finally investigate the types and spatial distribution characteristics of sedimentary microfacies. The P2h8 member of Ct3 area in Ordos (...)
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  8.  1
    Architecture Characteristics and Characterization Methods of Fault-Controlled Karst Reservoirs: A Case Study of the Shunbei 5 Fault Zone in the Tarim Basin, China.Wenbiao Zhang, Zhiliang He, Taizhong Duan, Qiqi Ma, Meng Li & Huawei Zhao - 2023 - Interpretation 11 (1):SA47-SA62.
    Carbonate fault-controlled karst reservoirs are unique because they typically are deeply buried and have substantial heterogeneity throughout compared with sandstone or other carbonate reservoirs. Creating a characterization method is critical for the efficient development of this kind of reservoir. The Shunbei 5 fault zone is an example of a carbonate fault-controlled karst reservoir located in the Tarim Basin. We summarized a 3D architectural model of fault-controlled karst reservoir based on the outcrop, drilling, logging, and seismic data. We dissected the architectural (...)
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