scholarly journals PERHITUNGAN GAS IN PLACE DAN RECOVERY FACTOR PADA LAPANGAN CBM SUMUR X

PETRO ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 131
Author(s):  
Yusraida Khairani Dalimunthe ◽  
Def Marshal ◽  
Ratnayu Sitaresmi
Keyword(s):  
Coalbed Methane ◽  
Coal Sample ◽  
Curve Analysis ◽  
Volumetric Method ◽  
Recovery Factor ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Field Development ◽  
Methane Gas ◽  
Coalbed Methane Reservoir

<em>The Coal Bed Methane well X is a field developed by company A where 5 CBM test wells have been drilled. This CBM field development in 2004 by drilling wells to a depth of 3000ft, then in 2006 drilling was carried out for three test wells with an average depth of 3000ft. The research conducted at LEMIGAS aims to calculate coalbed methane reservoir reserves, calculation of reserves per seam, recovery factor, from each coal sample. The volumetric method is used in this research to calculate the methane gas reserves and Langmuir curve analysis is used to calculate the recovery factor. The target of this research is the CBM field in well X, where the well has 3 seams, namely seam-2, seam-3, and seam-4. In addition to calculating the value of methane gas reserves for each well, the methane gas reserves for each seam are also calculated. From the results of the calculation, it can be concluded that the largest value of gas in place is on seam 4 which is 573.2 MMscf and the smallest is on seam 2 which is 176.1 MMscf, then the largest recovery factor value is owned by seam 3 which is 91%.</em>

Study on the Enrichment Degree of Coalbed Methane Based on the Fuzzy Comprehensive Evaluation

2010 ◽  
Vol 34-35 ◽  
pp. 815-819
Author(s):  
Xiang Zhen Yan ◽  
Bao Hui Wang ◽  
Xiu Juan Yang
Keyword(s):  
Coalbed Methane ◽  
Reference Model ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment System ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Fuzzy Mathematics Model

Considering the various influencing factors of enrichment of coal bed methane, the evaluation indexes of enrichment for coal bed methane are determined. The weight values of all factors indexes are given and the fuzzy mathematics model is established on the basis of the fuzzy mathematics. As a case study, the fuzzy mathematics model is applied to the assessment of enrichment of coal bed methane. The results show that the No.5 coal seam of Shan 2 of Shanxi formation in Daning-Jixian is a better enrichment area. The evaluation result performed on the basis of the fuzzy mathematics model is in good agreement with the measured result. The example indicates that the method is credible and has high precise. The assessment system established in the paper can be regarded as a reference model in coal bed methane exploitation potential assessment.

scholarly journals Mechanism of Structural Damage in Low Permeability Coal Material of Coalbed Methane Reservoir under Cyclic Cold Loading

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 519
Author(s):  
Hewan Li ◽  
Jianping Zuo ◽  
Laigui Wang ◽  
Pengfei Li ◽  
Xiaowei Xu
Keyword(s):  
Liquid Nitrogen ◽  
Coalbed Methane ◽  
Structural Damage ◽  
Coal Sample ◽  
Gas Permeability ◽  
Confining Pressure ◽  
Damage Degree ◽  
Confining Pressures ◽  
Coalbed Methane Reservoir ◽  
The Relationship

The pore and fracture structure of coal is the main factor that affects the storage and seepage capacity of coalbed methane. The damage of coal structure can improve the gas permeability of coalbed methane. A coal sample with a drilled hole was kept inside of a custom-designed device to supply confining pressure to the coal sample. Liquid nitrogen was injected into the drilled hole of the coal sample to apply cyclic cold loading. Confining pressures varying from 0~7 MPa to the coal sample were applied to explore the relationship between the structural damage and confining pressure. The structural damage rules of coal samples under different confining pressure were revealed. The results showed that: (1) The structural damage degree of the coal sample increases with the increase of confining pressure; (2) The coal sample was broken after three cycles of cold loading under 7 MPa confining pressure; (3) Without confining pressure, the coal sample is more likely to be damaged or even destroyed by cold liquid nitrogen. (4) The fracture extends along the stratification direction of coal samples, which is significant for coal samples with original fractures, but not obvious for the coal sample without fracture. The research results provide a new method and theoretical basis for permeability improvement of the coal seam.

scholarly journals Perbandingan Kinerja Reservoir Gas Konvensional dengan Coal Bed Methane (CBM)

2016 ◽  
Vol 5 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ahmad Muraji Suranto
Keyword(s):  
Recovery Factor ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Cap Rock

Reservoir gas konvensional yang dikenal oleh masyarakat luas adalah reservoir yang terdiri dari jebakan reservoir (cap rock), batuan reservoir dan isi (gas). Sedangkan perangkapnya bisa berupa perangkap struktur, stratigtafi, patahan atau kombinasi dari ketiganya. Sedangkan reservoir yang menghasilkan gas methane batubara (Coal Bed Methane yang disingkat CBM) merupakan zona batubara yang terisolasi, memiliki rekah alam dan terisi oleh air. pada kondisi awal kedua tipe reservoir ini (reservoir gas konvensional dan CBM)  mempunyai karakteristik yang berbeda, sehingga teknik perhitungan cadangan, cara memproduksikan dan kinerjanya akan berbeda pula. Karena mempunyai latarbelakang yang berbeda maka kiranya perlu dilihat kinerjanya seberapa jauh perbedaannya karena keduanya memproduksikan gas hidrokarbon.   Untuk melihat kinerja reservoirnya baik reservoir gas konvensional atau CBM maka dalam kajian ini menggunakan simulator. Dari kedua model, volume masing-masing reservoir dibuat sama, dan dilakukan sensitivitas karakteristik reservoirnya terhadap masing-masing model. Hasil akhir yang dibandingkan adalah kinerja dari masing-masing reservoir tersebut.   Hasil yang didapat dari kajian ini adalah bahwa reservoir CBM mempunyai laju produksi gas lebih rendah,  daerah pengurasan lebih kecil dan recovery factor lebih sedikit  bila dibandingkan dengan reservoir gas konvensional. Tetapi karena cadangan gas konvensional semakin lama semakin menipis, maka reservoir CBM sebagai alternatif yang perlu dikembangkan setelah gas konvensional. Kebijakan pajak pemerintah sangat penting untuk kelangsungan produksi CBM. 

Research on Main Control Factors of Coalbed Methane Reservoir Formation in Turpan-Hami Basin

2011 ◽  
Vol 233-235 ◽  
pp. 2201-2204 ◽  
Author(s):  
Gui Zhong Li ◽  
Hong Yan Xu ◽  
Bo Wang ◽  
Ze Deng ◽  
Meng Geng
Keyword(s):  
Coalbed Methane ◽  
Structural Evolution ◽  
Coal Bed ◽  
Coal Rank ◽  
Hydrogeological Condition ◽  
Gas Reservoirs ◽  
Coal Resources ◽  
Coal Beds ◽  
Control Factors ◽  
Coalbed Methane Reservoir

Turpan-Hami Basin is a typical low coal rank coal bearing basin in China, with coal resources accounting for 50% of the total low coal rank resources. Structural evolution of the basin plays important controlling roles to generation；Fan delta and braided delta deposit systems are thick and stable sedimentary systems which are favorable for coal beds development；Hydrogeological condition is a major force for the adjustment and construction of coal-bed gas reservoirs.

scholarly journals Desulfuromonas carbonis sp. nov., an Fe(III)-, S0- and Mn(IV)-reducing bacterium isolated from an active coalbed methane gas well

2015 ◽  
Vol 65 (Pt_5) ◽  
pp. 1686-1693 ◽  
Author(s):  
Thuy T. An ◽  
Flynn W. Picardal
Keyword(s):  
Coalbed Methane ◽  
Iron Reduction ◽  
Sequence Similarity ◽  
Coal Bed ◽  
Rrna Gene ◽  
Genotypic Differences ◽  
Gas Well ◽  
Content Type ◽  
Methane Gas ◽  
Link Type

A novel, mesophilic, obligately anaerobic, acetate-oxidizing, dissimilatory iron-, sulfur-, and manganese-reducing bacterium, designated strain ICBMT, was obtained from an active, coalbed methane gas well in Indiana, USA. Strain ICBMT was a Gram-stain-negative, non-spore-forming, rod-shaped, non-motile bacterium that was rich in c-type cytochromes and formed red colonies in solid medium. Strain ICBMT conserved energy to support growth from the oxidation of acetate, propionate, pyruvate, malate, fumarate, succinate and dl-lactate, concomitant with dissimilatory iron reduction. Strain ICBMT fermented fumarate yielding succinate and acetate. Strain ICBMT was able to grow in the temperature range of 10 °C to 37 °C, NaCl concentration range of 0 to 1.2 M, and pH range of 6.5 to 8.0. The physiological characteristics of strain ICBMT indicated that it belongs to the Desulfuromonas cluster. The G+C content of its genomic DNA was 61.2 mol%. The predominant cellular fatty acids were C16 : 0 (39.3 %), C16 : 1ω7c and/or iso-C15 : 0 2-OH (36.6 %). The closest cultured phylogenetic relative of strain ICBMT was Desulfuromonas michiganensis BB1T with only 95 % 16S rRNA gene sequence similarity. This confirmed that strain ICBMT is affiliated with the genus Desulfuromonas . On the basis of phenotypic and genotypic differences between strain ICBMT and other taxa of the genus Desulfuromonas , strain ICBMT represents a novel species for which the name Desulfuromonas carbonis sp. nov. is proposed (type strain ICBMT = DSM 29759T = JCM 30471T). Strain ICBMT is the first Fe(III)-, S0-, and Mn(IV)-reducing bacterium that was isolated from a coal bed.

scholarly journals Prediction of Coalbed Methane Production Based on BP Neural Network

2019 ◽  
Vol 131 ◽  
pp. 01059
Author(s):  
Tianxiang Zhang ◽  
Yifang Tang ◽  
Jianjun Wu ◽  
Zixi Guo ◽  
Bing Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Methane Production ◽  
Coalbed Methane ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Correlation Degree ◽  
Coalbed Methane Production ◽  
Exploration And Development ◽  
Production Prediction

The low average daily gas production per well and the poor economic benefit of exploration and development have become the main problems restricting the exploration and development of coalbed methane in China. Combining multiple coal seam geological parameters to predict the high-yield area of the block can not only provide guidance for the exploitation of coal-bed methane, but also bring enormous economic benefits. Aiming at the difficulty of coalbed methane dessert discrimination and production prediction, a method of coal-bed methane production prediction based on BP neural network is proposed in this paper. Starting from the average daily production of coalbed methane single well, we use the method of grey correlation degree to get the main controlling factors of coalbed methane production. For the main control factors, we use BP neural network with high fitting accuracy and get a good prediction result.

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