Coalbed Gas Reservoir Using Artificial Intelligent Algorithm of Calculating Relative Permeability Curve Method

Author(s):  
Jinzi Liu ◽  
Weiyao Zhu
Sadhana ◽  
2019 ◽  
Vol 44 (2) ◽  
Author(s):  
Tingting Jiang ◽  
Haiwang Ye ◽  
Gaofeng Ren ◽  
Jianhua Zhang ◽  
Yubiao Li ◽  
...  

This paper presents the development of an artificial intelligent algorithm to control circuits structuring of flexible remote experiments in engineering fields of electronics and electricity within a switching matrix architecture. In addition, this paper presents a technical analyze and characterization of VISIR system to point itsadvantages and its inconveniences.The developedartificial intelligent algorithm controlsthe interconnections between electrical and electronic components and monitorsthe power supplying and measurements conducting onVISIR system.We also developed an electronic board to provide the physical possibility of connecting any component to any other component on VISIR’s switching system, and thereby manifesting a switching matrix architecture within VISIR. The developed switching matrix architecture and the developed algorithm enable to have flexible remote experiments in engineeringfields of electronics and electricitywhile havingresilient control on circuits structuring for e-learning purposes.Inaddition, they open the way to havemore circuit combinations of experiments by offering the possibility of connecting any component to any other componentwhile respecting the electrical limits of current and voltage.


Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yongchao Xue ◽  
Qingshuang Jin ◽  
Hua Tian

Finding ways to accelerate the effective development of tight sandstone gas reservoirs holds great strategic importance in regard to the improvement of consumption pattern of world energy. The pores and throats of the tight sandstone gas reservoir are small with abundant interstitial materials. Moreover, the mechanism of gas flow is highly complex. This paper is based on the research of a typical tight sandstone gas reservoir in Changqing Oilfield. A strong stress sensitivity in tight sandstone gas reservoir is indicated by the results, and it would be strengthened with the water production; at the same time, a rise to start-up pressure gradient would be given by the water producing process. With the increase in driving pressure gradient, the relative permeability of water also increases gradually, while that of gas decreases instead. Following these results, a model of gas-water two-phase flow has been built, keeping stress sensitivity, start-up pressure gradient, and the change of relative permeability in consideration. It is illustrated by the results of calculations that there is a reduction in the duration of plateau production period and the gas recovery factor during this period if the stress sensitivity and start-up pressure gradient are considered. In contrast to the start-up pressure gradient, stress sensitivity holds a greater influence on gas well productivity.


2013 ◽  
Vol 807-809 ◽  
pp. 2529-2533 ◽  
Author(s):  
Ying Xin Zhang ◽  
Peng Fei Wang ◽  
Jie Yang ◽  
Guang Qi Li

The difference between coal reservoir and conventional natural gas reservoir leads to difficulty for fracturing coal seam, also extremely low permeability in coal seam affects seriously the coalbed gas production. However, supercritical carbon dioxide has unique properties that promote pores and cracks, improve coal seam permeability and replace of CH4 in coal and rock seam. This paper researches on fracturing principle, generational capacity and carrying capacity, anti-reflection effect. At the sametime, based on the problem of change permeability in coal seam, the paper also analyes characteristics of coal reservoir and coalbed gas and combines with properties of supercritical carbon dioxide, which points out the feasibility and necessity that using supercritical carbon dioxide as fracturing carrier in coalbed gas exploitation realizes anti-reflection and increasing production.


2015 ◽  
Vol 109 (3) ◽  
pp. 527-540 ◽  
Author(s):  
Wei Hu ◽  
Shenglai Yang ◽  
Guangfeng Liu ◽  
Zhilin Wang ◽  
Ping Wang ◽  
...  

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