scholarly journals EVALUATION OF INITIAL GAS VOLUME OF COALBED METHANE USING FOUR METHOD

2019 ◽  
Vol 3 (1) ◽  
pp. 28
Author(s):  
Heri Susanto ◽  
Karen Sondakh ◽  
Ratnayu Sitaresmi ◽  
Ryodi Hananda
Keyword(s):  
Coalbed Methane ◽  
Alternative Energy ◽  
Volatile Matter ◽  
Gas Content ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Resource Potential ◽  
Volume Calculation ◽  
Initial Volume ◽  
Gas Volume

<p>Coal bed methane (CBM) is an unconventional energy resources in which the main ingredient is methane gas formed in the process of formation of coal (coalification). Based on research Advance Resource International inc. (ARI), the CBM resource potential is 453 Tcf spread across 11 basins in Indonesia. CBM technology is expected to be one of the alternative energy can play a role in helping to suppress the natural gas needs of oil as one of the energy commodities di Indonesia.<br />This paper discusses about a calculated initial volume of gas in place (Gas in Place) on CBM reservoir “X” field. This initial gas volume calculation first calculating the gas content is becoming an important parameter in calculating the initial volume. This content gas value can be obtained through data analysis proximate such as ash content, moisture content, volatile matter, fixed carbon which such data can be obtained from laboratory results. But there is also the calculation of the gas content which can be obtained by simply using coal density data using several methods of calculation, such as the Mavor method, Bambang, Modified Kim, and Mullen method. In the “X” field there are five wells coalbed methane drilling has been done, namely, SS-1, SS-2, SS 3, SS-4 and SS-5 and there are five layers are seam-1, seam-2, seam-3, seam-4, and seam-5. Based on the calculations were also obtained in the “X” field coal rank, the average is sub-bitminous. Of the five wells will be calculated gas content and the initial volume of gas using a method Mavor, Bambang, Modified Kim, and Mullen.<br />Using four methods then the gas content in the SS well ranged between 200-500 SCF / ton. And assuming that the well drainage area (A) covering an area of 100 acres, the obtained large volumes of coal bed methane wells SS-1 with the four methods ranged from 3-9 BSCF, the SS-2 ranged between 1-3 BSCF, wells SS- 3 are 2-5 BSCF, the SS-4 range between 1-3 BSCF and the SS-5 ranges between 1-3 BSCF.<br />We will be compared the initial gas volume in the Field “X” using the four methods with data from the laboratory result. From that analysis it can be proved that the Bambang method is the most suitable method and represents CBM field in Indonesia. So the initial gas volume in Field “X” is using the result from Bambang method, and the result are 5312.17 MMscf on the SS-1well, 2385.77 MMscf on the SS-2 well, 3330.84 MMscf on the SS-3 well, 1635.44 MMscf on the SS-4 well, and 1608.74 MMscf on the SS-5 well. And the total initial gas volume in the “X” Field is 14273 MMSCF.</p>

Quantitative analysis of coal-bed methane components by downhole laser Raman spectroscopy

2021 ◽  
pp. 1-24
Author(s):  
Heng Wang ◽  
Lifa Zhou ◽  
Wang Yuxia
Keyword(s):  
Raman Spectroscopy ◽  
Coalbed Methane ◽  
Molecular Structures ◽  
Spectral Lines ◽  
Gas Content ◽  
Laser Raman Spectroscopy ◽  
Coal Bed ◽  
Laser Raman ◽  
Coiled Tubing ◽  
Ct System

Laser Raman spectroscopy can be used to acquire the unique fingerprint of a specific molecule, and it is widely used to identify substances and study the spectral line characteristics of molecular structures. The measurement of coalbed methane (CBM) content is essential in the exploration and development of CBM fields for optimizing the fracture design. For this purpose, laser Raman spectroscopy can be extremely beneficial because it detects the gas content rapidly and accurately. Moreover, conventional gas content testing methods are laborious, time-intensive, expensive, and yield inaccurate results. Therefore, we integrated a laser Raman spectroscopy system with a coiled tubing (CT) equipment for downhole deployment in gas wells to accurately determine the CBM content in situ. The developed system can directly determine the CBM content at a specific location in the target layer. The trace test characteristics enable this system to rapidly detect downhole gas components and contents. The real-time detection data are transmitted via a cable to a computer on the surface and are processed using a baseline correction algorithm and data enhancement algorithm. Fourier transform and wavelet transform are used to identify the Raman spectral lines, while analysis of Raman spectra is used to determine CBM content. By employing this equipment, we can shorten the cycle of depressurization, drainage, and recovery processes from multiple days to just a few hours. Furthermore, the integrated laser Raman spectroscopy-CT system enables a flexible operation and possesses strong site operability, making it suitable for complex and high-risk wells.

Insights of Cleat Attribute of Barakar Coal Deposits of Son Valley Basin, India: Implication for Coal Bed Methane Exploration

2021 ◽  
Vol 9 (1) ◽  
pp. 56-65
Author(s):  
Susheel Kumar ◽  
◽  
Atul Kumar Varma ◽  
Vinod Atmaram Mendhe ◽  
◽  
...  
Keyword(s):  
Central India ◽  
Atomic Ratio ◽  
Volatile Matter ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Sem Images ◽  
Coal Deposits ◽  
Terrestrial Source ◽  
Type Composition ◽  
The Face

Cleat attributes and coal quality have been evaluated through field observation, SEM images analysis and proximate-ultimate analyses on representative coal samples collected from four different underground coal mines of Son-Valley coal Basin of central India for the characterization of coal bed methane prospective. The coal samples were characterized as durainic-clarodurainic-vitrainic type to durocalrainic-clarainic type based on litho-type composition. Cleats were identified as face cleat and butt cleat range 5-10 cm-1 to 2–3 cm-1 depending on the litho-types whereas, cleat density ranges 7-16 cm-2 revealed that cleat development is influenced by litho-types. The cleat orientation shows two main strikes almost NW-SE to NNW-SSE and NE-SW to ENE-WSW elucidates the face cleat and butt cleats are perpendicular to each other. SEM images for coal samples were analysed to validate the cleat geometry at micro-scale, illustrates that face cleat and butt cleats are orthogonal to each other. The technological properties viz. moisture (Wa), volatile matter yield (VMdaf) ash yield (Ad) of coal samples are placed in the range of 0.66–11.80, 32.0–50.05 and 13.23–43.73 wt.% respectively. The fuel ratios of all the samples varied from 1.05–2.35 indicating that coal samples were of sub-bituminous to bituminous rank. The carbon and hydrogen (Cdaf, Hdaf) content of samples ranges from 68.89–86.08 and 5.22–6.60 wt.% respectively. The atomic ratio H/C and O/C through van-Krevelen diagram demonstrate the predominance of type-III/IV kerogens usually derived from terrestrial source in studied coal belongs to the gas genesis window.

Study on Well Logging Technology with Methods of Evaluating Gas Content of Coal-Bed Methane Reservoir

2014 ◽  
Vol 1003 ◽  
pp. 183-187
Author(s):  
Huai Jie Yang ◽  
He Ping Pan
Keyword(s):  
Statistical Analysis ◽  
Coal Seam ◽  
Well Logging ◽  
Langmuir Equation ◽  
Gas Content ◽  
Coal Bed ◽  
High Yield ◽  
Coal Bed Methane ◽  
Analysis Method ◽  
Statistical Analysis Method

In this study, the well logging response of CBM reservoir have been analyzed, and discussing the factors that affect the gas content of coal seam. The well logging technology has been employed in connection with log data and gas content. Take one oilfield’s well logging data for example, statistical analysis method and Langmuir equation method are selected to calculate the gas content of one coal seam, the two calculated results are basically the same, the highest value are about 26 cm3/g, is a high-yield coal seam.

The Studies on Gas-Bearing Characteristics of Deep Coal Seams in Yanchang Oil and Gas Province, China

2014 ◽  
Vol 962-965 ◽  
pp. 213-216
Author(s):  
Guo Ping Jiang
Keyword(s):  
Coal Seam ◽  
Layer Thickness ◽  
Oil And Gas ◽  
Single Layer ◽  
Gas Content ◽  
Coal Bed ◽  
Coal Seams ◽  
Resource Potential ◽  
Gas Bearing ◽  
Average Layer Thickness

In this paper, four general directions are described to make evaluations and their resource potential; those are coal structure and coal level, gas content of deep coalbed, the coalbed thickness and distribution and the buried depth of coalbed. Coalfields of the study area are mainly Permian and Carboniferous coal seam of Shanxi Formation coal and Benxi group 11 # coal, coal seam depth 1370-1812m. No. 3 coal-seam average layer thickness of 1.6 m, the monolayer most 2 m thick; No. 11 coal-seam in the average layer thickness of 3 m, single-layer thickness of 4.5 m. Predict the amount of coal resources of 17.3 one hundred million t. Predict coal-bed methane resources of 27.68 billion cubic reserve abundance of 104 million square / km2 in. The exploration results show that this region has good development prospects.

The Broad Concept and Resource Calculation Method of Coalbed Methane

2014 ◽  
Vol 962-965 ◽  
pp. 185-188
Author(s):  
Wei Hou ◽  
Fang Zhang
Keyword(s):  
Coal Seam ◽  
Calculation Method ◽  
Coalbed Methane ◽  
Surrounding Rock ◽  
Gas Content ◽  
Coal Bed ◽  
Broad Concept

It has become the focus of debate about Coalbed Methane (CBM) concept whether the surrounding rock is reservoir. The gas content of surrounding rock is considerable, and it may become valuable exploration targets. In lateral, the gas content of surrounding rock is negatively related with coal bed. In vertical, the closer distance between coal seam and surrounding rock is, the higher gas content is. The broad CBM is defined as the gas that mainly originates from coal, mainly exists in the coal seam, and also widely exists in the surrounding rock. The method of volume and capacity are used to resource calculation.

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.

Research on Result Prediction of Coal-Bed Gas Wells Fracturing by Using Expert System

2013 ◽  
Vol 734-737 ◽  
pp. 1445-1449
Author(s):  
Chi Ai ◽  
Chao Yang Hu ◽  
Yu Wei Li ◽  
Feng Jiao Wang
Keyword(s):  
Expert System ◽  
Coal Seam ◽  
Hydraulic Fracturing ◽  
Gas Content ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Main Method ◽  
Number Of Factors ◽  
Coal Seam Thickness ◽  
Expert Database

Hydraulic fracturing is the main method to increase the output of coal-bed methane wells, however, the hydraulic fracturing result of coal-bed methane well is usually affected by large number of factors such as the conditions of coal-bed, the conditions of coal-bed methane well, fracturing operation parameters and so on. As a result, the fracturing operation result is difficult to predict. This paper assumed coal seam thickness, the depth of coal seam, coal seam gas content and other six main factors which affect hydraulic fracturing results by analysis various factors. Membership function of the expert system was established to divide the level of each factor. The established method which applies the expert system to predict the hydraulic fracturing results of coal-bed methane wells was based on expert database. Using the established expert system to calculate 200 groups of test data and the prediction error rate is only 3.5%. The prediction results are accurate and reliable, and can provide guidance for coal-bed methane wells fracturing optimization.

Sign in / Sign up

Export Citation Format

Share Document