• Journal of the Korean Institute of Gas
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• v.21 no.2
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• pp.1-9
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• 2017

Enhanced coalbed methane recovery (ECBM), as injecting $CO_2$ or $N_2$ into the coalbed methane (CBM) reservoir for increasing methane recovery, takes center stage in these days. ECBM makes a better recovery than the conventional production method, it called dewatering process. However the characteristics of injection gas affect to methane recovery, thus analysis on the mixed ratio of injection gas should be required. In this study, CBM reservoir model was built to estimate the methane recovery of ECBM method by different mixed ratio of injection gas. Additionally, to consider the characteristics of injection gas such as carbon captured storage, nitrogen re-injection, etc. economic analysis was performed. The results showed that ECBM cases produced methane almost twice as much as dewatering case and $CO_2$ 10% and $N_2$ 90% case resulted in the highest methane recovery among the mixed gas cases. On the other hand, the results of economic analysis showed that $CO_2$ 20% and $N_2$ 80% case made the highest total production profit. Therefore, both the recovery of methane and economical efficiency should be considered to apply ECBM process.

• The Transactions of the Korea Information Processing Society
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• v.4 no.12
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• pp.3010-3022
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• 1997

Expert system is one of AI area which was came out at the end of 19705s. It simulates the human's way of thinking to give solutions of Problem in many applications. Most expert system consists of many components such as inference engine, knowledge base, and so on. Especially the performance of expert system depends on the control of enfficiency of inference engine. Inference engine has to get features; tirst, if possible to minimize restrictions when the knowledge base is constructed second, it has to serve various kinds of inferencing methods. In this paper, we design and implement the inference engine which is able to support the general functions to knowledge domain and inferencing method. For the purpose, forward chaining, backward chaining, and direct chaining was employed as an inferencing method in order to be able to be used by user request selectively. Also we not on1y selected production system which makes one ease staradization and modulation to obtain knowledges in target domain, but also constructed knowledge base by means of Extended Clause Bit Metrics (ECBM). Finally, the performance evaluation of inference engine between Rete pattern matching and ECBM has been done.

• Journal of the Korean Institute of Gas
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• v.17 no.2
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• pp.36-43
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• 2013

In order to asses gas production behavior for $CO_2$ ECBM, the sorption charcteristics on coal are considered to be a key factor. In this study, we have investigated the change of the sorption rate of adsorbed gas as a function of pressure and temperature below the appropriate depth for $CO_2$-ECBM. The experiment were carried out under four different temperatures varying from $15^{\circ}C$ to $45^{\circ}C$, while the coal pressure was varied from atmosphere to 1,400 psi for every temperature. From this results, the sorption rate both $CO_2$ and $CH_4$ increased with increasing the coal pressure. Otherwise, the sorption rate both $CH_4$ and $CO_2$ decreased linearly as the coal temperature increased. From the sensitivity studies on pressure and temperature change, it was experimentally identified that $CO_2$ sequestration rate and $CH_4$ production rate are better at deeper depths below a depth of 800 m in coal seams. However, the results showed continued decline in the increasing ratio of ECBM with formation depth.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1997.03a
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• pp.183-193
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• 1997

추론엔진과 지식베이스를 기반으로 하는 전문가 시스템은 사용목적에 맞게 구성되며,인간의 사고 방식을 모방한 컴퓨터가 올바른 해를 도출시키도록 하는데 궁극적인 목표가 있다. 즉, 추론의 효율성이 전문가 시스템의 효율성을 좌우한다. 시스템이 어떠한 목적을 갖는가에 따라서, 추론 방법과 지식표현 방법등이 결정된다. 최근 추론의 효율성을 극대화하기 위해 이용되고 있는 지식표현 및 추론 방법으로는 Rete, TREAT 등의 트리 표현을 사용하는 전향추론, 관계리스트를 사용하는 직접추론 등이 있다. 전문가 시스템의 성능은 추론을 얼마나 효율적이고 정확하게 하는지에 따라 좌우된다. 본 논문에서는 이러한 추론의 효율성이 지식베이스의 구축형태와 밀접한 관련을 이용하여 효율적인 추론 엔진을 구성하였다. 지식의 표준화가 모듈화가 쉬운 생성규칙을 사용하여 지식을 표현하였으며 , 사용자의 요구에 의해 전향추론, 후향추론이 수행되도록 하였다. 본 논문에서는 추론을 효율적으로 하기위한 기본 방법중, 지식표현을 보다 더 효과적으로 구축하는 방법을 택하였다. 기존의 지식표현방법을 살펴보고, 이를 기반으로 새로운 지시표현 방법인 ECBM(extedned clause bit matrix)과 ERCBM(extended clause bit matrix)을 제안하고 이를 이용하여 전향추론, 후향추혼이 가능한 추론엔진을 구축하였으며 이 두 지식표현을 이용하여 구축되어진 추론엔진을 비교하였다. 이 추론엔진은 기존에 시스템과는 달리 전향, 후향이 모두 효율적으로 수행되어지며, 모든 지식에 대해 적용이 가능한 강력한 범용성을 갖고 있다.

• Economic and Environmental Geology
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• v.48 no.1
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• pp.65-75
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• 2015

The CBM(Coalbed Methane) development technology being developed in mid 1980s is the technology to produce the methane gas absorbed in the coal bed. CBM is easy to be developed and its coal deposit is abundant. Therefore, the CBM industry has a large potential as an energy source as well as to deal with the global regulations for reducing greenhouse gas emission. In order to produce coal, the CBM should first be developed as a preliminary action for mine security. So CBM is advantageous in reducing the global greenhouse gas as well as its advantage not being influenced by the changes in gas market. The ECBM (Enhanced Coalbed Methane) is a new technique producing the methane gas which is substituted and disorbed from coal by injecting $CO_2$ or $N_2$ gas into a coal bed. Especially, $CO_2$-ECMB is a low-carbon, green-growth technology, so can expect to the effect of green gas reduction as well as the improved productivity of methane gas. CBM technology is being developed in about 40 nations including Canada, Australia, China, India, Indonesia and Viet Nam, and the coal output using this technology is continually being increased. The CBM is expected to contribute in changing the energy source paradigm from current coal & petroleum energy to unconventional gas.

• Journal of the Korean Institute of Gas
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• v.19 no.2
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• pp.37-44
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• 2015

We proposed the improved Langmuir adsorption relations considering volume change effect of coal matrix during primary production of CBM and Enhanced-CBM with injection of carbon dioxide or CCS in coalseam but also volumetric strain. To verify this model, experimental data of pure gas adsorption such as $CO_2$, $CH_4$, and $N_2$ on coals were used to compare conventional Langmuir model with this model. From the results, we obtained that the larger adsorption capacity of coal and the higher adsorption affinity of gas, the larger error occur with Langmuir model. Using this model, however, we found not only substantially better fit in all condition but also reasonable volumetric strain of the coal matrix. We also applied this volume modified pure gas adsorption model to the IAS model to describe gas adsorption and volumetric strain for mixed gas. This modified-IAS model fitting experimental data by Hall et al(1994) improved accuracy of mixed gas adsorption calculation compared with conventional model.