scholarly journals Lithofacies Types, Assemblage Characteristics, and Sedimentary Evolution Model of Lacustrine Shale in Dongyuemiao Formation of Fuxing Area

2021 ◽  
Vol 9 ◽  
Author(s):  
Yi Shu ◽  
Hanyong Bao ◽  
Youheng Zheng ◽  
Miankun Chen ◽  
Yongchao Lu ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Sedimentary Environment ◽  
Shale Oil ◽  
Transgressive System Tract ◽  
Oil And Gas Exploration ◽  
Sedimentary Evolution ◽  
Lacustrine Shale ◽  
System Tract ◽  
Fossil Shell

The identification and classification of lithofacies’ types are very important activities in shale oil and gas exploration and development evaluation. There have been many studies on the classification of marine shale lithofacies, but research on lacustrine shale lithofacies is still in its infancy. Therefore, in this study, a high-resolution sequence stratigraphic framework is established for the lacustrine shale of the Jurassic Dongyuemiao Formation in the Fuxing area using detailed core observations, thin section identification, XRD analysis, major and trace element analysis, wavelet transform analysis, and detailed identification and characterization of the fossil shell layers in the formation. In addition, the lithofacies’ types and assemblages are identified and characterized, and the lithofacies’ characteristics and sedimentary evolution models in different sequence units are analyzed. The significance of the lithofacies assemblages for shale oil and gas exploration is also discussed. The results show that the shale of the target interval can be divided into 8 parasequence sets; further, 9 types of lithofacies and 6 types of lithofacies assemblages are identified. The 9 lithofacies are massive bioclast-containing limestone shoal facies (LF1), thick-layered fossil shell–containing limestone facies (LF2), layered mud-bearing fossil shell–containing limestone facies (LF3), laminated fossil shell–containing argillaceous shale facies (LF4), laminated fossil shell–bearing argillaceous shale facies (LF5), argillaceous shale facies (LF6), massive storm event–related bioclast-containing facies (LF7), massive argillaceous limestone facies (LF8), and massive mudstone facies (LF9). The sedimentary evolution models of different lithofacies are established as follows: Unit 1 (LF1-LF6) of the Dong-1 Member corresponds to the early stage of a lake transgressive system tract, and Units 2–4 (LF4-LF7) correspond to the middle to late stage of the lake transgressive system tract, which was an anoxic sedimentary environment. The Dong-2 Member (LF7-LF8) and the Dong-3 Member (LF5+LF9) correspond to a lake regressive system tract, which was an oxygen-rich sedimentary environment. Based on the characteristics of the shale lithofacies, sedimentary environment, and the quality of the reservoir, the lithofacies assemblage of LF4–LF7 in Unit 4 is the most favorable type for oil and gas exploration, followed by the lithofacies assemblage in Unit 2; the lithofacies assemblage in the Dong-2 and Dong-3 Members are the worst.

Cooperative Search and Exploration in Robotic Networks

2013 ◽  
Vol 01 (01) ◽  
pp. 121-142 ◽  
Author(s):  
Jinwen Hu ◽  
Jun Xu ◽  
Lihua Xie
Keyword(s):  
Cooperative Control ◽  
Oil And Gas ◽  
Future Research ◽  
Robot System ◽  
Robotic Networks ◽  
Oil And Gas Exploration ◽  
Recent Developments ◽  
Multi Agent ◽  
New Research

Great potentials of robotic networks have been found in numerous applications such as environmental monitoring, battlefield surveillance, target search and rescue, oil and gas exploration, etc. A networked multi-robot system allows cooperative actions among robots and can achieve much beyond the summed capabilities of each individual robot. However, it also poses new research and technical challenges including novel methods for multi-agent data fusion, topology control and cooperative path planning, etc. In this paper, we review recent developments in cooperative control of robotic networks with focus on search and exploration. We shall first present a general formulation of the search and exploration problem, and then divide the overall search strategy into different modules based on their functions. Methods and algorithms are illustrated and compared following the classification of the modules. Moreover, a 3D simulator developed in our laboratory is introduced and its application is demonstrated by experiments. Finally, challenges and future research in this area are provided.

Classification of Tight Sandstone Reservoir Based on the Conventional Logging

2014 ◽  
Vol 633-634 ◽  
pp. 526-529 ◽  
Author(s):  
Xiao Ling Xiao ◽  
Jia Li Cui ◽  
Yu Peng Zhang ◽  
Xiang Zhang ◽  
Han Wu
Keyword(s):  
Support Vector Machine ◽  
Oil And Gas ◽  
Identification Accuracy ◽  
Support Vector ◽  
Tight Sandstone ◽  
Oil And Gas Exploration ◽  
Unconventional Oil ◽  
Unconventional Oil And Gas ◽  
Sandstone Reservoir

With the increasing social demand for oil and gas resources, the exploration and development of unconventional oil and gas reservoirs will pay more and more attention. Tight sandstone reservoir classification is one of the important tasks in the research of unconventional oil and gas exploration and development.Limitations exist in tight sandstone reservoir classification by various conventional logging.A method for the classification of tight sandstone reservoir based on support vector machine is presented in this paper, combining with the core data and flow unit to establish the reservoir classification standard. Tight sandstone reservoirs of no coring wells are classified based on the model made by support vector machine using conventional logging.The application results show that this method has high suitability and identification accuracy.

Shale oil and gas exploration potential in the Tanezzuft Formation, Ghadames Basin, North Africa

2019 ◽  
Vol 153 ◽  
pp. 83-90 ◽  
Author(s):  
Zhaoming Wang ◽  
Buqing Shi ◽  
Zhixin Wen ◽  
Xiaoguang Tong ◽  
Chengpeng Song ◽  
...  
Keyword(s):  
North Africa ◽  
Oil And Gas ◽  
Shale Oil ◽  
Oil And Gas Exploration ◽  
Tanezzuft Formation

scholarly journals The Role of Soluble Organic Matter in Shale Oil “Sweet Spots” Prediction: An Investigation of Shale With Different Lithofacies in the Dongying Sag

2021 ◽  
Vol 9 ◽  
Author(s):  
Jinyi He ◽  
Jingong Cai ◽  
Xiaojun Zhu ◽  
Mingshui Song ◽  
Huimin Liu ◽  
...  
Keyword(s):  
Organic Matter ◽  
Oil And Gas ◽  
Shale Oil ◽  
Oil Exploration ◽  
Soluble Organic Matter ◽  
Oil And Gas Exploration ◽  
Dongying Sag ◽  
Main Component ◽  
Sweet Spots ◽  
Exploration And Development

Lithofacies are the fundamental geological units for shale oil and gas exploration and development, and soluble organic matter (SOM) is most similar to crude oil in composition. Both aspects attract our attention in the interpretation of SOM in different lithofacies, which can provide direct evidence to predict shale oil “sweet spots”. Here, twenty-five shale samples were collected from the Eocene Shahejie Formation in the Dongying Sag and were subjected to X-ray diffraction, Rock-Eval pyrolysis, and SOM characterization. Comparison of the SOM contents in shales with different lithofacies revealed remarkable differences: 1) The contents of SOM, saturates and total hydrocarbons (THC) showed the order of detrital massive mudstone < homogenous massive mudstone < wide laminated shale < discontinuous laminated shale < fine laminated shale < gypsum-bearing mudstone, and the SOM content was controlled by lithofacies through differences in both OM and minerals. 2) The SOM in detrital and homogenous massive mudstones was mainly composed of saturates and resins. Saturates were the main component in wide and fine laminated shales. The SOM in discontinuous laminated shale was mainly composed of saturates and aromatics. The SOM in gypsum-bearing mudstone was mainly composed of saturates, and the percentage of asphaltenes was quite high. Based on the evaluation parameters of high-quality lithofacies in terms of abundance (i.e., SOM, THC or saturate contents) and quality (i.e., quality index and asphaltene percentage), the fine, wide and discontinuous laminated shales were regarded as relatively favorable lithofacies. Based on the lithofacies combination, the fine, wide and discontinuous laminated shales in Es3x and Es4ss (upper section of Es4s) in the Dongying Sag were interpreted as “sweet spots” for shale oil exploration and development. Thus, it is of great significance to study the characteristics of SOM in shale with different lithofacies for shale oil exploration and development.

scholarly journals Study on the Upper Paleozoic Source Rocks in Southwestern Henan, China

2021 ◽  
Vol 257 ◽  
pp. 03010
Author(s):  
Fengyu Sun ◽  
Gaoshe Cao ◽  
Zhou Xing
Keyword(s):  
Carbonate Rock ◽  
Oil And Gas ◽  
Lower Layer ◽  
Sedimentary Environment ◽  
Source Rocks ◽  
Oil And Gas Exploration ◽  
Potential Source ◽  
Upper Paleozoic ◽  
Unconventional Oil And Gas ◽  
Coal Rock

The Upper Paleozoic strata in Southwestern Henan have good prospects for unconventional oil and gas exploration. This paper takes the Upper Paleozoic source rocks in the Yuzhou area and the Pingdingshan area in Southwestern Henan as the research object, and tests 107 samples from the Upper Paleozoic coal rock, mudstone and carbonate rock. Combined with the sedimentary environment background, the Upper Paleozoic source rocks in Southwestern Henan are comprehensively evaluated. The results show that the Upper Paleozoic source rocks in Southwestern Henan, including coal rocks, mudstone and carbonate rocks, can be used as potential source rocks. Vertically, the source rocks are continuously distributed in the lower layer below the sandstone of Shanxi Formation. The Dazhan sandstone is only locally developed; the distribution of Upper Paleozoic source rocks in Southwestern Henan is mainly related to the Late Paleozoic transgression.

scholarly journals Automated Classification of High-resolution Rock Image Based on Residual Neural Network

2021 ◽  
Vol 2095 (1) ◽  
pp. 012051
Author(s):  
Weibo Cai ◽  
Juncan Deng ◽  
Qirong Lu ◽  
Kengdong Lu ◽  
Kaiqing Luo
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
High Resolution ◽  
Oil And Gas ◽  
Automated Classification ◽  
Maximum Probability ◽  
Rock Classification ◽  
Oil And Gas Exploration ◽  
Local Image

Abstract The identification and classification of high-resolution rock images are significant for oil and gas exploration. In recent years, deep learning has been applied in various fields and achieved satisfactory results. This paper presents a rock classification method based on deep learning. Firstly, the high-resolution rock images are randomly divided into several small images as a training set. According to the characteristics of the datasets, the ResNet (Residual Neural Network) is optimized and trained. The local images obtained by random segmentation are predicted by using the model obtained by training. Finally, all probability values corresponding to each category of the local image are combined for statistics and voting. The maximum probability value and the corresponding category are taken as the final classification result of the classified image. Experimental results show that the classification accuracy of this method is 99.6%, which proves the algorithm’s effectiveness in high-resolution rock images classification.

The sedimentary structure and petroleum geologic significance of the ring belt of the closed lake basin: An integrated interpretation of well and seismic data of the Kong2 Member in Cangdong Sag, Central Bohai Bay Basin, China

2018 ◽  
Vol 6 (2) ◽  
pp. T283-T298 ◽  
Author(s):  
Xianzheng Zhao ◽  
Lihong Zhou ◽  
Xiugang Pu ◽  
Wenzhong Han ◽  
Zhannan Shi ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Lake Basin ◽  
Tight Oil ◽  
Bohai Bay ◽  
Shale Oil ◽  
Sweet Spot ◽  
Bohai Bay Basin ◽  
Oil And Gas Exploration ◽  
Closed Lake ◽  
Basin Margin

Cangdong is a typical oil-rich sag in the Bohai Bay Basin, China. After more than 50 years of exploration and development, the Kong2 Member (the major hydrocarbon play in the sag) still has considerable residual oil and gas resource potential. To pursue replacement areas of oil and gas exploration and development, the basic geology of the entire Kong2 Member in Cangdong Sag as a unit has been reexamined, and the findings have been used to guide the secondary exploration deployment. In this study, the characteristics of sedimentary reservoirs, source rocks, and oil and gas distribution in the Kong2 Member have been systematically studied, and a sedimentary model of the ring belt-circle layer of the closed lake basin in the Kong2 Member of the Cangdong Sag, with three segments (high, middle, and low) on the profile, three ring belts (outer, middle, and inner) on the plane, and three circle layers (outer, middle, and inner) in space has been established. The ring belt and circle layer are jointly controlled by water-body differentiation in the closed lake basin, source-material supply, depositional accommodation space, and deposition base-level cycle, and they can be in round, oval, long strip, and irregular shapes. The outer ring (circle), located near the basin margin, mainly has delta-front subfacies conventional coarse-grained medium-thick sandstone and near-source structural and stratigraphic-lithologic reservoirs; the middle ring (circle), the transitional zone from the basin margin to the central basin, is dominated by fine sandstone, siltstone, and lacustrine carbonates of front delta subfacies, and it mainly contains isolated lithologic reservoirs and unconventional tight oil; the inner ring (circle) is the high-quality hydrocarbon source-rock development zone in the center of the closed lake basin, featuring a high abundance of shale, where the dolomite and siltstone of distal gravity flow right next to source rock, and fine-grained diamictite of the source reservoir in one area rich in tight oil, whereas the high-abundance shale of frequent source-reservoir interbeds is rich in shale oil. The strategy of oil and gas exploration deployment is to look for structural, stratigraphic-lithologic reservoirs in the outer circle (outside source), lithologic reservoirs in the middle circle (near source), and retained tight oil and shale oil in the inner ring (inside source). In recent years, major discoveries have been made in oil and gas exploration in the three circle layers of the Kong2 Member in the Cangdong Sag through drilling, especially in tight-oil exploration in the inner-circle layer: two sandstone sweet-spot intervals of greater than 60 m and three dolomite sweet-spot intervals of greater than 100 m have been confirmed. The maximum daily oil production of vertical wells after fracturing is up to 50 t; several hundred square kilometers of favorable exploration area has been delineated, with an estimated oil geologic resource of 100 million tons.

Aquifer Monitoring Technology for Safe Shale Oil and Gas Exploration and Extraction

2018 ◽  
Author(s):  
Anders Tuxen ◽  
Amina Boughrara Salman ◽  
John Davis ◽  
Poul L. Pedersen ◽  
Casper L. Byg ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Shale Oil ◽  
Monitoring Technology ◽  
Oil And Gas Exploration

scholarly journals The Paleogene multi-phase tectono-sedimentary evolution of the syn-rift stage in the Nanpu Sag, Bohai Bay Basin, East China

2018 ◽  
Vol 36 (6) ◽  
pp. 1519-1545 ◽  
Author(s):  
Siding Jin ◽  
Haiyang Cao ◽  
Hua Wang ◽  
Shanbin Chen
Keyword(s):  
Oil And Gas ◽  
Hydrocarbon Exploration ◽  
Tectonic Activity ◽  
Bohai Bay ◽  
Fault Activity ◽  
Bohai Bay Basin ◽  
Oil And Gas Exploration ◽  
Sedimentary Evolution ◽  
Depositional Systems ◽  
Nanpu Sag

The Bohai Bay Basin is the second largest oil-producing basin in China located on the east Asian margin. The Bohai Bay Basin contains numerous depressions, sub-basins, and sags. One of these, the Nanpu Sag, has played a particularly important role in oil and gas exploration in recent years. Four depositional systems are recognized in the Nanpu Sag, fan-delta, braided-river delta, turbidite deposits, and lacustrine systems. In the Paleogene, the Nanpu Sag underwent complex and multi-phased rifting evolution. Two evolutionary phases have been identified: the syn-rift phase and the post-rift phase, the syn-rift stage can be further sub-divided into four episodes. This study reveals the considerable faulting activity and associated strong subsidence that occurred during the deposition of the Dongying Formation in the fourth episode of the syn-rift stage. The depositional systems and the tectonic activity during the fourth episode in the Nanpu Sag have very different characteristics compared to those of other depressions or sub-basins in the Bohai Bay Basin. Boundary fault activity was extremely intense during the deposition of the Dongying Formation, especially the east to west trending faults, including the Xinanzhuang Fault and the Gaoliu Fault. Moreover, the migration of subsidence centers from the Shahejie Formation to the Dongying Formation is a result of the strong down-warping that occurred during the fourth episode of the syn-rift stage. In the Nanpu Sag, the Dongying Formation is of great significance to hydrocarbon exploration, which is affected by both the intensity of fault activity and magnitude of basement subsidence.

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