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1. Introduction
Reserve of coalbed methane (CBM) resource and its production potential is huge in deep coal seams in China [1–4]. Furthermore, the exploration target is impelling gradually forward to deep coal seams in recent years. Compared to the CBM in shallow coal seams, coalbed methane in deep coal seams are usually poor in gas production [5, 6]. Moreover, there has been a long lack of studies on reservoir properties and corresponding changing rules in deep coal seams.
The critical depth of reservoir property change in coal seams has important guidance to geological study, drilling, fracturing, and other engineering processes. However, the critical depth of the deep coal seam is not well studied. Previous studies about critical depth of deep coal seams either focus on single parameter, for example, gas content, or are based on the data derived from shallow wells [7–11]. Thus, the study about how properties change with burial depth and confirming the critical depth in deep coal seams is urgent and necessary to speed up the exploration and development of deep coalbed methane.
In order to study reservoir properties and development conditions for the CBM production wells in deep coal seams, so as to better guide the CBM exploration activities, it is necessary to collect and analyze the present data in deep wells and summarize the relationship between reservoir properties and geological conditions. This study about reservoir property and critical depth is aimed at providing important guidance to the CBM exploration and development in deep coal seams in China.
2. Data Collection
In this study, two kinds of data are collected to analyze the relationship of reservoir properties and burial depth. One kind of data is collected from internal files of CUCBM Corporation in China, and the other kind of data is derived from the literatures. The figures are drawn mainly based on the internal data in China. The studied areas in this research focus on Qinshui Basin in China [5, 12, 13]. In total, data derived from 204 CBM production wells were collected and only 43 wells’ data are listed in Table 1 to avoid the paper becoming lengthy. The following analyses of reservoir properties with burial depth are mainly based on the data collected in Table 1. Moreover, some well’s parameters, for example, permeability, gas content, geostress, and geotemperature, were measured in situ and the relationship with burial depth is also analyzed in this study.
Table 1
Statistics table of depth and productivity in main CBM producing wells.
Basin | Number | Depth (m) | Gas content (m3/t) | Permeability (md) | Geostress (MPa) | T (°C) | ||
---|---|---|---|---|---|---|---|---|
Qinshui Basin | 001 | 778 | 11.89 | 0.015 | 11.67 | 26.1 | ||
002 | 513.5 | 18.4 | 0.0289 | 7.70 | 18.4 | |||
003 | 475 | 19.66 | 0.95 | 8.08 | 22.8 | |||
004 | 588.33 | 13.51 | 0.06 | 9.30 | 25.4 | |||
005 | 470 | 0.11 | 7.52 | 15.6 | ||||
006 | 570.25 | 16.07 | 0.87 | 7.93 | 23.25 | |||
007 | 428.3 | 20.11 | 2 | 5.57 | 24.16 | |||
008 | 531 | 16.4 | 0.088 | 9.56 | 20.44 | |||
009 | 584 | 18.63 | 0.26 | 10.10 | 26.7 | |||
010 | 688.73 | 12.76 | 0.026 | 10.12 | 28.8 | |||
011 | 772.4 | 8.79 | 0.494 | 25.26 | ||||
012 | 746.18 | 20.49 | 4.6 | 25.6 | ||||
013 | 868.4 | 19.31 | 0.46 | 11.20 | 29.3 | |||
013 | 840.4 | 0.9442 | 13.37 | 36.69 | ||||
014 | 895.29 | 0.034 | 18.44 | 37.5 | ||||
015 | 977.8 | 20.72 | 1.2 | 22.76 | ||||
016 | 1128.2 | 16.65 | 18.9 | 23.75 | ||||
017 | 1011.2 | 14.82 | 0.49 | 23.41 | ||||
018 | 967 | 18.84 | 0.19 | 20.67 | ||||
019 | 1134.9 | 11.76 | 81.3 | 24.33 | ||||
020 | 712.1 | 10.465 | 0.06 | 14.67 | 30.1 | |||
021 | 733.05 | 5.01 | 0.016 | 12.97 | 28 | |||
022 | 568.55 | 5.04 | 0.16 | 13.59 | 28.6 | |||
023 | 871.8 | 5.14 | 1.39 | 19.79 | 35.1 | |||
024 | 871.8 | 2.72 | 0.11 | 18.83 | 30.2 | |||
025 | 723.7 | 13.03 | 0.11 | 15.99 | 30.06 | |||
026 | 489.4 | 11.24 | 0.0285 | 11.07 | 24.572 | |||
027 | 1001.45 | 1.15 | 0.18 | 20.73 | 37.9 | |||
028 | 965.3 | 8.17 | 0.07 | 18.05 | 35.9 | |||
029 | 577.45 | 7.31 | 0.28 | 12.47 | 28 | |||
030 | 731.8 | 5.01 | 0.016 | 13.03 | 28 | |||
031 | 739.5 | 2.11 | 0.02 | 13.31 | 28.2 | |||
032 | 578.6 | 4.15 | 0.06 | 13.71 | 28.4 | |||
033 | 883.15 | 3.9 | 0.138 | 20.84 | 35.5 | |||
034 | 883.15 | 3.41 | 0.18 | 18.19 | 30.5 | |||
035 | 735.2 | 4.9 | 0.06 | 16.84 | 30.71 | |||
036 | 496.6 | 9.93 | 0.0374 | 9.34 | 24.717 | |||
037 | 1010 | 3.28 | 0.03 | 19.29 | 37.9 | |||
038 | 624.7 | 9.35 | 0.42 | 12.81 | 27.5 | |||
039 | 973.3 | 11.58 | 0.21 | 17.13 | 36.8 | |||
040 | 587.75 | 5.79 | 0.04 | 10.76 | 28.2 | |||
041 | 738.4 | 2.11 | 0.045 | 13.73 | 28.2 | |||
042 | 887.35 | 5.23 | 1.7 | 13.77 | 27.76 | |||
043 | 495.1 | 7.9 | 1.43 | 7.08 | 25.35 |
It can be seen from Table 1 that burial depth value ranges mainly from 428 m to 1135 m, gas content ranges from 2.11 m3/t to 20.72 m3/t, coal seam permeability ranges from 0.015 md to 18.9 md except for the abnormal value 81.3 md, and geostress value ranges from 5.57 MPa to 24.33 MPa.
3. Relationship between Main Properties and Depth
Reservoir properties and conditions, such as permeability, geostress, and temperature, are sensitive to burial depth. Some researchers have studied the behavior of reservoir property changing with burial depth in shallow coal seams [14–16], but these rules and relationships may not be suitable for deep coal seams and cannot be used directly. Therefore, a further study aiming at deep coal seam is required.
3.1. Relationship between Permeability and Burial Depth
Some researchers [17–20] have studied the relationship between permeability and burial in depth of less than 1000 m. Studies [21–24] also show that coal seam permeability which is affected by strata stress gas pressure and temperature progressively decreases with the effective vertical stress which deepens with burial depth.
However, because of the different study purposes, the relationship between permeability and burial depth has not systematically been studied in deep coal seams. In this study, the relational diagram of permeability and burial depth is drawn in Figures 1 and 2.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]Figure 1 is a box plot of permeability and with burial depth, and Figure 2 is a scatter diagram of permeability with burial depth. The reason of using the two types of figures is to analyze the different aspects of relationship of reservoir property. It can be seen from Figure 1 that permeability decreases with the increasing of burial depth. Moreover, the decreasing trend shows step-change characteristics at certain burial depth. For example, permeability presents big difference before and after burial depth 600 m.
It can be seen from Figure 2 that the relationship of permeability and burial depth shows obvious divisional characteristics. When the burial depth is deeper than 600 m, almost all of the permeability values are smaller than 0.45 md, while when the burial depth is shallower than 600 m, most of the permeability values are larger than 0.45 md.
3.2. Relationship between Porosity and Burial Depth
In order to study the relationship between porosity and burial depth, the box plot and relationship graph of porosity and burial depth are drawn in Figures 3 and 4.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]It can be seen from Figures 3 and 4 that porosity decreases with the increasing of burial depth and the decreasing trend shows step-change characteristics at a burial depth of 800 m. Because the stress including horizontal and vertical stresses increases with the increasing of burial depth [25], the relationship of stress with porosity and permeability is both negative correlation. When the burial depth is deeper than 800 m, almost all of the porosity is smaller than 6.5%, while when the burial depth is shallower than 800 m, the distribution of porosity value spreads widely, from 0 to 13%.
3.3. Relationship between Gas Content and Burial Depth
Figure 5 is the box plot of gas content and burial depth in Qinshui Basin, and Figure 6 is the relational graph of gas content and burial depth.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]Like the above relationship of permeability and burial depth, it can be seen from Figures 5 and 6 that gas content increases with the increasing of burial depth and the decreasing trend shows step-change characteristics at a burial depth of 600 m. Moreover, the relationship of gas content and burial depth also shows obvious divisional characteristics.
3.4. Relationship between Geostress and Burial Depth
According to the statistical data, the geostress in the deep coal seam in China is generally beyond 25 MPa, with some wells understressed at 15 MPa and some wells overstressed at 30 MPa. In order to further study the rules of geostress changing with burial depth, the relationship diagram of geostress and burial depth is drawn in Figure 7 on the basis of analyzing the mass data derived from main deep coal seam producing wells.
[figure omitted; refer to PDF]
Through analyzing the graph of horizontal geostress and burial depth, it can be seen from Figure 7 that horizontal geostress increases gradually with the increasing of burial depth. Another relationship is that horizontal geostress presents step-increasing characteristics at a burial depth of 600∼900 m.
3.5. Relationship between Geotemperature and Burial Depth
Another important reservoir characteristic for the coal seam is geotemperature. In order to study the relationship of temperature and burial depth, 10 wells’ data of temperature in Qinshui Basin were studied in this study. The relational graph of temperature and burial depth is drawn in Figure 8.
[figure omitted; refer to PDF]
It can be seen from Figure 8 that geotemperature increases linearly with the increasing of burial depth. However, the slope of the line at the burial depth of 820 m is quite different. The slope shallower than 820 m is about 90, while it is 24.3 when the burial depth is deeper than 820. Namely, temperature has inflection point at burial depth of 820 m in Qinshui Basin.
3.6. Summary of Changing Rules of Main Reservoir Characteristics with Burial Depth
To summarize, the changing rules of main reservoir characteristics with burial depth can be drawn as follows.
Permeability and porosity decrease with the increasing of burial depth, and the decreasing trend shows step-change characteristics at certain burial depth. Moreover, the relationship of permeability and porosity with burial depth also shows obvious divisional characteristics. Gas content, geostress, and geotemperature increase with the increasing of burial depth, and the decreasing trend shows step-change characteristics at certain burial depth. Moreover, the relationship of gas content and burial depth shows divisional characteristics, and geotemperature has inflection point at certain burial depth.
Therefore, according to the study above, it is proposed in this study that reservoir properties and geological conditions present step-changing rules in the deep coal seam with the increasing of burial depth, and the reservoir properties have divisional characteristics at certain burial depth in deep coal seams. Combined with the study of earth science and astronomical geology, the reason that the corresponding law changing with burial depth probably because of the changing of physical property, such as density and pressure.
From the study above, it can be seen that there exists one or several inflection points for each parameter in deep coal seams. After and before the inflection point, the reservoir property is quite different or changes sharply. We define this inflection point in this study as critical depth.
4. Definition of Critical Depth in Deep Coal Seams
4.1. Simulation Method and Data Processing
In order to study the critical depth in the deep coal seam, the back propagation (BP) neural network numerical simulation method is used. The BP neural network has self-organized learning ability and is now used widely in science forecasting area. The main operation steps of BP neural network method include: selecting the original data, data normalization processing, nonlinear regression using Matlab software, determining the parameters’ weight, determining the range of catastrophe point, and determining the critical depth using iteration method. Table 2 is sample data of parameters used in simulation process after being normalized.
Table 2
Sample data table of parameters after normalized.
Wells | Depth | Parameters | ||||
---|---|---|---|---|---|---|
Compressional wave | Transverse wave | Temperature | Pressure | Well depth | ||
SX∼001 | 1318∼1321 | 0.80186 | 0.68234 | 0.76755 | 0.62741 | 0.90212 |
1325∼1326 | 0.85535 | 0.60741 | 0.76988 | 0.82581 | 0.90691 | |
|
||||||
SX∼002 | 1126∼1128 | 0.81994 | 0.56756 | 0.74027 | 0.88819 | 0.77070 |
1170∼1180 | 0.80311 | 0.55640 | 0.76142 | 1.00000 | 0.80082 | |
|
||||||
SX∼003 | 1412∼1413 | 0.88674 | 0.59585 | 0.97018 | 0.85733 | 0.96646 |
1452∼1456 | 0.79935 | 0.54882 | 0.99831 | 0.82979 | 0.99384 | |
1461∼1464 | 0.85535 | 0.66481 | 1.00000 | 0.87226 | 1.00000 | |
|
||||||
SX∼004 | 1301∼1309 | 0.88147 | 0.68035 | 0.70241 | 0.41274 | 0.89049 |
|
||||||
SX∼005 | 1198∼1199 | 1.00000 | 0.67756 | 0.77200 | 0.93033 | 0.81999 |
|
||||||
SX∼006 | 1225∼1236 | 0.92767 | 0.56955 | 0.78257 | 0.79230 | 0.83847 |
869∼875 | 0.79935 | 0.56955 | 0.68126 | 0.64665 | 0.59480 | |
960∼961 | 0.96459 | 1.00000 | 0.73012 | 0.59655 | 0.65708 | |
977∼978 | 0.96786 | 0.76046 | 0.73794 | 0.64366 | 0.66872 | |
993∼994 | 0.90558 | 0.78717 | 0.74323 | 0.53251 | 0.67967 | |
997∼999 | 0.83752 | 0.61259 | 0.74492 | 0.71334 | 0.68241 |
4.2. Simulation Results and Analysis
In this study, three main parameter systems including mechanical parameters, reservoir property, and production parameters are selected to simulate the critical depth using the BP neural network method.
The parameters of burial depth, velocity of longitudinal wave, temperature, and fracture pressure are selected when using mechanical parameters to simulate. The coupling regression equation using mechanical parameters can be obtained through numerical simulation:
After a series of calculation, the critical depth using mechanical parameters is 1043 m, while the actual inflection point selected is 997 m. The error between the calculated depth and actual depth is 4.6%, which is within the error.
Another series of parameters including permeability, adsorption amount, reservoir pressure, temperature, and vitrinite reflectance are selected to simulate the critical depth. Through the numerical simulation, the regression equation using reservoir property parameters can be obtained as follows:
The critical depth using reservoir property parameters is confirmed as 614–1077 m.
The production parameters which are reservoir pressure, permeability, gas content, and gas production are selected to simulate. The regression equation is as follows:
Finally, the critical depth using production parameters is confirmed as 660–980 m.
4.3. Verification of Simulated Results and Definition of Critical Depth
In order to eliminate the affection of different units, the normalized matching curves are drawn in Figure 9 using three differential parameters. From the normalized curves, it can be seen that there are two inflection points in 0.60 and 0.90, which can be converted to 659 and 988 m in actual depth. The critical depth using mechanical parameters, reservoir property parameters, and production parameters are 1043 m, 614–1077 m, and 660–980 m, respectively. They are mainly located in the range of 659–988 m within the margin of error using the normalized matching curve method. This verifies the accuracy of previous simulated results using three different parameter series.
[figure omitted; refer to PDF]
Combined the previous study of reservoir properties with the normalization of three different parameter types, the critical depth in Qinshui Basin was defined as shallow coal seam is lower than 650 m and transition band is 650–1000 m, while deep coal seam is deeper than 1000 m. For the shallow coal seam, the development condition is quite good and is defined as favorable zones; for the transition band, the reservoir properties, temperature, and stress show step-changing characters; for the deep coal seam, the temperature, geostress, permeability, and gas content conditions become worse. In deep coalbed methane zone, the recovery becomes poor and can be determined as the unfavorable zone for the exploration and development of coalbed methane. Therefore, other development means, for example, CO2 injection, need to be used to accelerate the deep coal methane development.
5. Conclusion
In this study, the main reservoir properties are studied and analyzed based on investigating a large number of producing well data in China and the USA. Through this study, it is proposed that reservoir properties and geological conditions present step-changing rules with the increasing of burial depth and have divisional characteristics at certain burial depth in the deep coal seam. Permeability and porosity decrease with the increasing of burial depth, and the decreasing trend shows step-change characteristics at certain burial depth. Gas content, geostress, and geotemperature increase with the increase of burial depth, and the increasing trend shows step-change characteristics at a critical burial depth.
Moreover, through simulating the critical depth using the BP neural network method, three series critical depth when using different parameter systems which are mechanical parameters, reservoir property, and production parameters are obtained, respectively. The critical depth using mechanism parameters is 1043 m, and it is 614–1077 m using reservoir parameters, while it is 660–980 m using production parameters. Combined the previous study with the normalization of three different parameter types, the critical depth in Qinshui Basin was defined as shallow coal seam is lower than 650 m and transition band is 650–1000 m, while deep coal seam is deeper than 1000 m. The shallow coal seam is determined as favorable zones and the deep coal seam is determined as the unfavorable zones for CBM exploration.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Acknowledgments
This research was funded by the National Major Research Program for Science and Technology of China (Grant nos. 2017YFC0804108 and 2016ZX05041-004); Shandong Provincial Key Laboratory of Depositional Mineralization and Sedimentary Mineral, Shandong University of Science and Technology (DMSM2018001); Natural Science Foundation (Grant nos. 51774136 and 41872179).
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Abstract
Coalbed methane (CBM) reservoir properties and relationship of properties with burial depth were studied based on the data derived from 204 deep CBM production wells in Qinshui Basin, China. Through the study, it is found that permeability and porosity decrease with the increase of burial depth and the decreasing trend shows step-change characteristics at a critical burial depth. They also show divisional characteristics at certain burial depth. Gas content, geostress, and geotemperature increase with the increase of burial depth, and the increasing trend shows step-change characteristics and also have divisional characteristics at certain burial depth. Based on the previous study on the reservoir property changes with burial depth, three series of critical depth using different parameters are obtained through simulating the critical depth using the BP neural network method. It is found that the critical depth is different when using different parameters. Combined the previous study with the normalization of three different parameter types, the critical depth in Qinshui Basin was defined as shallow coal seam is lower than 650 m and transition band is 650–1000 m, while deep coal seam is deeper than 1000 m. In deep coal seams, the geological conditions and recovery becomes poor, so it can be defined as unfavorable zones. Therefore, other development means, for example, CO2 injection, need to be used to accelerate the deep coal methane development.
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Details

1 School of Safety Engineering, North China Institute of Science and Technology, Langfang 065201, China
2 Langfang Branch of China Petroleum Exploration and Development Research Institute, Langfang 065000, China
3 Information Research Institute of Emergency Management Department, Beijing 100029, China
4 CSIRO Earth Science and Resource Engineering, Clayton South, Victoria 3169, Australia