Artificial Intelligence Approach for Predicting TOC From Well Logs in Shale Reservoirs

2020 ◽  
pp. 46-77 ◽  
Author(s):  
Md. Shokor A. Rahaman ◽  
Pandian Vasant
Keyword(s):  
Oil And Gas ◽  
Hydrocarbon Generation ◽  
Oil And Gas Exploration ◽  
Direct Measurements ◽  
No Free Lunch Theorem ◽  
Shale Reservoir ◽  
Shale Reservoirs ◽  
Low Dimensional ◽  
No Free Lunch ◽  
Intelligence Approach

Total organic carbon (TOC) is the most significant factor for shale oil and gas exploration and development which can be used to evaluate the hydrocarbon generation potential of source rock. However, estimating TOC is a challenge for the geological engineers because direct measurements of core analysis geochemical experiments are time-consuming and costly. Therefore, many AI technique has used for TOC content prediction in the shale reservoir where AI techniques have impacted positively. Having both strength and weakness, some of them can execute quickly and handle high dimensional data while others have limitation for handling the uncertainty, learning difficulties, and unable to deal with high or low dimensional datasets which reminds the “no free lunch” theorem where it has been proven that no technique or system be relevant to all issues in all circumstances. So, investigating the cutting-edge AI techniques is the contribution of this study as the resulting analysis gives top to bottom understanding of the different TOC content prediction strategies.

scholarly journals Hydrocarbon generation from Carboniferous-Permian coaly source rocks in the Huanghua depression under different geological processes

2020 ◽  
Vol 17 (6) ◽  
pp. 1540-1555
Author(s):  
Jin-Jun Xu ◽  
Qiang Jin
Keyword(s):  
Oil And Gas ◽  
Vitrinite Reflectance ◽  
Source Rocks ◽  
Bohai Bay ◽  
Hydrocarbon Generation ◽  
Oil And Gas Exploration ◽  
Geological Processes ◽  
Light Oil ◽  
Huanghua Depression ◽  
Higher Temperature

AbstractNatural gas and condensate derived from Carboniferous-Permian (C-P) coaly source rocks discovered in the Dagang Oilfield in the Bohai Bay Basin (east China) have important implications for the potential exploration of C-P coaly source rocks. This study analyzed the secondary, tertiary, and dynamic characteristics of hydrocarbon generation in order to predict the hydrocarbon potentials of different exploration areas in the Dagang Oilfield. The results indicated that C-P oil and gas were generated from coaly source rocks by secondary or tertiary hydrocarbon generation and characterized by notably different hydrocarbon products and generation dynamics. Secondary hydrocarbon generation was completed when the maturity reached vitrinite reflectance (Ro) of 0.7%–0.9% before uplift prior to the Eocene. Tertiary hydrocarbon generation from the source rocks was limited in deep buried sags in the Oligocene, where the products consisted of light oil and gas. The activation energies for secondary and tertiary hydrocarbon generation were 260–280 kJ/mol and 300–330 kJ/mol, respectively, indicating that each instance of hydrocarbon generation required higher temperature or deeper burial than the previous instance. Locations with secondary or tertiary hydrocarbon generation from C-P coaly source rocks were interpreted as potential oil and gas exploration regions.

Hydrocarbon Accumulation Conditions and Reservoir Characteriscs of Shahejie Formation in Tangzhuang Area

2013 ◽  
Vol 734-737 ◽  
pp. 1391-1394
Author(s):  
Ming Jian Wang ◽  
Xun Hua Zhang
Keyword(s):  
Source Rock ◽  
Central Region ◽  
Oil And Gas ◽  
Geophysical Data ◽  
Hydrocarbon Generation ◽  
Hydrocarbon Accumulation ◽  
Dominant Type ◽  
Oil And Gas Exploration ◽  
Sand Body ◽  
Shahejie Formation

Guided by the theory of petroleum system, we analyzed hydrocarbon accumulation elements and conditions of the Shahejie Formation in Tangzhuang area and concluded the hydrocarbon accumulation model based on the geological and geophysical data. Hydrocarbon comes from the source rock of Es3 in Linyi sub-sag located to the southeast of Tangzhuang area. Reservoir mainly is clastic, followed by carbonate. There are 4 source-reservoir-cap assemblages in the Shahejie Formation. The Es3 source rock of different tectonic units in Linnan sub-sag has experienced different hydrocarbon generation stages. The central region experienced two hydrocarbon generation stages while the edge only experienced one stage. The hydrocarbon generated by the source rock of Es3 in Linnan sub-sag mainly migrated to Tangzhuang area along fault and sand body. The structural trap is the dominant type followed by structure-lithologic trap and lithologic trap. Based on the analysis of hydrocarbon accumulation condition, we concluded the lower generating and upper reserving model of the study area. The findings will play an important role in guiding Tangzhuang oil and gas exploration.

scholarly journals The Development of Non-Conventional Oil and Gas in Indonesia

2020 ◽  
Vol 9 (1) ◽  
pp. 11-16
Author(s):  
Wiwiek Jumiati ◽  
David Maurich ◽  
Andi Wibowo ◽  
Indra Nurdiana
Keyword(s):  
Oil And Gas ◽  
Gas Reservoir ◽  
Factors Affecting ◽  
Unconventional Oil ◽  
Unconventional Oil And Gas ◽  
Shale Reservoir ◽  
Shale Reservoirs ◽  
The Government ◽  
Oil And Gas Reservoir ◽  
Conventional Oil

Oil and gas fuel from unconventional types of reservoirs was the development of alternative sources in addition to oil and gas fuels from conventional type reservoirs that can be obtained to meet domestic needs. The development of unconventional oil and gas reservoirs has developed rapidly outside Indonesia, such as in North America and Canada. One type of unconventional oil and gas reservoir was obtained from shale rock reservoirs. Hydrocarbon shale produced from shale formations, both source from rock and reservoir. This unconventional hydrocarbon has a big potential to be utilized. In this study, an analysis of the development of unconventional oil and gas from Shale Hydrocarbons carried out in Indonesia. This research included the distribution of shale reservoir basins, the number of unconventional shale reservoir resources, factors affecting the development of unconventional oil and gas in shale reservoirs in Indonesia, efforts made by the government to promote exploration activities, exploitation of shale reservoirs in Indonesia, and existing regulations for non-conventional oil and gas. The development of unconventional oil and gas reservoir shale needed to be developed immediately and will attract investors to meet domestic needs for renewable energy needs. From the geological data obtained, there were 6 basins and 11 formations that analyzed for commercialization. Tanjung and Batu Kelau Formation was a prospect formation from 4 desired data categories. In terms of regulation, it still needed improvement to increase the interest of upstream oil and gas entrepreneurs in the unconventional oil and gas shale reservoir. Research in the field of unconventional oil and gas exploitation technology for hydrocarbon shale needed to be improved.

scholarly journals Chemometric differentiation of natural gas types in the northwestern Junggar Basin, NW China

2020 ◽  
Vol 38 (6) ◽  
pp. 2128-2142
Author(s):  
Yao-Ping Wang ◽  
Xin Zhan ◽  
Yuan Gao ◽  
Sibo Wang ◽  
Jia Xia ◽  
...  
Keyword(s):  
Natural Gas ◽  
Oil And Gas ◽  
Junggar Basin ◽  
Source Rocks ◽  
Hydrocarbon Generation ◽  
Geological Evidence ◽  
Oil And Gas Exploration ◽  
Natural Gases ◽  
Group A ◽  
Group B

In recent years, the natural gas has displayed a growing significance in oil and gas exploration in the northwestern Junggar Basin (NWJB), although oil has been the main focus of exploration in the basin. Here, we systematically discuss the classification and origin of the natural gases from the NWJB based on the natural gas geochemistry and chemometric methods. The natural gases collected from the NWJB were chemometrically classified into three groups. Group A gases, defined as coal-derived gases, were likely generated from the mixing of the Jiamuhe Formation and Carboniferous strata. Group B gases, defined as the mixing of coal-derived and oil-associated gases, were restricted to the source rocks of group A and C gases. Group C gases, defined as oil-associated gases, were likely derived from both the Fengcheng and Wuerhe Formations, with a higher contribution from the latter strata. The result of this study suggests that the potential of oil generation in the Wuerhe Formation has been underestimated in the past. This is in accordance with geochemical and geological evidence. This study provides an effective chemometric method of natural gas classification and evaluation of hydrocarbon generation potential. This contributes to a better understanding of the origin of gases and distribution of oil and gas, assisting in exploration deployment in the basin.

Hydrocarbon Origin and Accumulation Model of Putaohua Reservoir in Southern Daqing Placanticline Area

2012 ◽  
Vol 616-618 ◽  
pp. 64-68
Author(s):  
Na Wang ◽  
Shuang Fang Lu ◽  
Dian Shi Xiao
Keyword(s):  
Source Rock ◽  
Oil And Gas ◽  
Source Area ◽  
Analysis Data ◽  
Research Area ◽  
Hydrocarbon Generation ◽  
Small Contribution ◽  
Hydrocarbon Migration ◽  
Oil And Gas Exploration ◽  
Accumulation Model

There are great oil and gas exploration prospect in south of Daqing Placanticline, with unclear understanding of source rock and accumulation model, the progress of oil exploration is restricted. To definite the source of oil and gas, according to chromatography data and analysis data, combined with potential of hydrocarbon generation and expulsion, oil-gas migration pathway, the hydrocarbon migration and accumulation model is proposed. It can be concluded that the oil from Putaohua reservoir in the south of Daqing Placanticline area mainly come from K2qn1 source rock locally, while the hydrocarbon sources of K2qn1 in the east and west of the depression makes small contribution to the research area. Migrate in source area is the main hydrocarbon migration and accumulation mode. Re-define the oil source of Putaohua reservoir can help enhance the cognition of the hydrocarbon accumulation condition and accumulation model, in order to direct the research for the accumulation and distribution principle of oil and gas exploration and favorable area prediction in the future.

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