Coal Geology & Exploration
Abstract
Coalbed methane resource conditions and reservoir physical conditions are the basis of CBM exploration and exploitation. The geological modeling of CBM reservoir was carried out to clarify the spatial distribution of coal reservoir, and explain the difference of single well productivity, which can provide theoretical basis for selection and well drilling. This paper took Baode unit I as research object. Based on the measured data of gas content and well test permeability, the inversion model of gas content and permeability in the study area was established by using support vector machine algorithm(SVM) and transformed F-S permeability calculation formula, and the gas content and permeability logging interpretation of 162 CBM wells were completed. Furthermore, the modeling of gas content and permeability were established by using stochastic modeling method. The modeling results show that the gas content of coal seam 4+5 was 2.0-5.2 m3/t, averaging 3.3 m3/t, the gas content of coal seam 8+9 was 2.4-9.2 m3/t, averaging 5.1 m3/t; the permeability of coal seam 4+5 was (0.8-9.8)×10-3 μm2, averaging 6.1×10-3 μm2, the permeability of coal seam 8+9 was (2.8-11)×10-3 μm2, averaging 7.3×10-3 μm2. In general, it is a CBM development unit with low gas content, high permeability. Planar distribution characteristics of equivalent gas content, resource abundance, and adsorption saturation of coal reservoir in study area were analyzed based on the established geological model. Then, the geological conditions of two typical wells(B1-X1 and B1-X2) were compared and analyzed, the results show that the parameters of well B1-X1 were better than those of well B1-X2. From the cross-well section and the production curve, it can be seen that the productivity difference between two wells mainly includes two aspects: one is resource condition, the gas content and resource abundance of well B1-X1 are better than those of well B1-X2, and the low adsorption saturation in well B1-X2 makes gas desorption more difficult. On the other hand, it is reservoir physical conditions. The permeability of well B1-X1 is better than that of well B1-X2, which is beneficial to the seepage of coalbed methane and forms a high yield. Among them, the difference in permeability is a key parameter that affects CBM exploitation, and CBM resource abundance and adsorption saturation are important factors for evaluating CBM wells to maintain high and long-term stable production.
Keywords
Baode unit I, geological modeling, production, resource conditions, physical conditions
DOI
10.3969/j.issn.1001-1986.2020.06.007
Recommended Citation
Y.
(2020)
"Application of pre-stack denoising technique in full digital high density 3D seismic technique in coal mining districts,"
Coal Geology & Exploration: Vol. 48:
Iss.
6, Article 8.
DOI: 10.3969/j.issn.1001-1986.2020.06.007
Available at:
https://cge.researchcommons.org/journal/vol48/iss6/8
Reference
[1] 张成玉. 基于多域的去噪技术方法研究[D]. 北京:中国石油大学,2009. ZHANG Chengyu. Technical research based on multi-domain noise elimination[D]. Beijing:China University of Petroleum,2009.
[2] 王琦. 全数字高密度三维地震勘探技术在淮北矿区的应用[J]. 煤田地质与勘探,2018,46(增刊1):41-45. WANG Qi. Application of all digital high-density 3D seismic ex-ploration technology in Huaibei Mining Area[J]. Coal Geology & Exploration,2018,46(Sup.1):41-45.
[3] 冯晓辉,陈怡斌. 组合去噪在东岭地区资料处理中的应用[J]. 天然气技术与经济,2012,6(1):33-36. FENG Xiaohui,CHEN Yibin. Application of combined denoising to seismic-data processing in Dongling area[J]. Natural Gas Technology and Economy,2012,6(1):33-36.
[4] 赵立明. 淮北矿区高密度三维地震勘探岩性解释技术研究[D]. 徐州:中国矿业大学,2015. ZHAO Liming. Study on lithology Interpretation technology of high-density 3D seismic data in Huaibei Mining Area[D]. Xuzhou:China University of Mining and Technology,2015.
[5] 王金龙,胡治权. 三维锥形滤波方法研究及应用[J]. 石油地球物理勘探,2012,47(5):705-711. WANG Jinlong,HU Zhiquan. Three dimensional cone filtering[J]. Oil Geophysical Prospecting,2012,47(5):705-711.
[6] 李文花. 三维十字交叉排列去噪技术的应用实践[J]. 工程地球物理学报,2020,17(4):414-420. LI Wenhua. Application of 3D cross array denoising technique[J]. Chinese Journal of Engineering Geophysics,2020,17(4):414-420.
[7] 金丹. 煤炭全数字高密度三维地震勘探关键技术研究[D]. 北京:煤炭科学研究总院,2015. JIN Dan. Research on key technology of the digital high-density 3D seismic exploration in coal mine[D]. Beijing:China Coal Research Institute,2015.
[8] 陈美年. 地震资料随机干扰压制技术研究[D]. 青岛:中国海洋大学,2010. CHEN Meinian. Research on random interference suppression tec-hnology of seismic data[D]. Qingdao:Ocean University of China,2010.
[9] 刘洋,刘财,王典,等. 时变中值滤波技术在地震随机噪声衰减中的应用[J]. 石油地球物理勘探,2008,43(3):327-332. LIU Yang,LIU Cai,WANG Dian,et al. Application of time-variant median filtering technique to attenuation of seismic random noises[J]. Oil Geophysical Prospecting,2008,43(3):327-332.
[10] 刁塑,张恒琪,王冬年. 基于曲波变换在地震数据随机噪声压制的应用[J]. 能源研究与管理,2020(1):87-90. DIAO Su,ZHANG Hengqi,WANG Dongnian. Application of curvelet transform in suppressing random noise of seismic data[J]. Energy Research and Management,2020(1):87-90.
[11] 陈志德,郑锡娟,关昕,等. 长垣油田地震异常振幅噪声分频压制技术[J]. 大庆石油地质与开发,2010,29(5):164-167. CHEN Zhide,ZHENG Xijuan,GUAN Xin,et al. Frequency division suppression technology of seismic abnormal amplitude noise in Changyuan oil field[J]. Daqing Petroleum Geology and Development,2010,29(5):164-167.
[12] 熊登,赵伟,张剑锋. 混合域高分辨率抛物Radon变换及在衰减多次波中的应用[J]. 地球物理学报,2009,52(4):1068-1077. XIONG Deng,ZHAO Wei,ZHANG Jianfeng. Hybrid-demain high resolution parabolic transform and its application to demultiple[J]. Chinese Journal of Geophysics,2009,52(4):1068-1077.
[13] 宁宏晓,唐东磊,皮红梅,等. 国内陆上"两宽一高"地震勘探技术及发展[J]. 石油物探,2019,58(5):645-653. NING Hongxiao,TANG Donglei,PI Hongmei,et al. The technology and development of "WBH" seismic exploration in land,China[J]. Geophysical Prospecting for Petroleum,2019,58(5):645-653.
[14] 马在田. 地震偏移剖面的假频、频散和横向分辨力[J]. 石油地球物理勘探,1982,4(4):16-29. MA Zaitian. False frequency,dispersion and lateral resolution of seismic migration profile[J]. Petroleum Geophysical Exploration,1982,4(4):16-29.
[15] FRANKLINVILLE A,MEEK R. A procedure for optimally removing localized coherent noise[J]. Geophysics,1995,60(1):191-203.
[16] 渥·伊尔马滋. 地震资料分析[M].刘怀山,王克斌,童思友,等,译. 北京:石油工业出版社,2006:120. ILMAZ W. Seismic data analysis[M]. LIU Huaishan,WANG Kebin,TONG Siyou,et al. Translate. Beijing:Petroleum Industry Press,2006:120.
[17] 薛超. 十字排列去噪方法研究与应用[J]. 内蒙古石油化工,2019,45(7):11-16. XUE Chao.The study of Cross-spreading de-noise method and its application[J]. Inner Mongolia Petrochemical Industry,2019,45(7):11-16.
[18] HALE D,CLAERBOUTJ F. Butterworth dip filters[J]. Geophysics,2012,48(8):1033-1038.
[19] 李雪英,张晶,孔祥琦,等. 基于离散小波变换的地震资料自适应高频噪声压制[J]. 物探与化探,2013,37(1):165-170. LI Xueying,ZHANG Jing,KONG Xiangqi,et al. High frequency seismic noise adaptive suppression based on discrete wavelet transform[J]. Geophysical &Geochemical Exploration,2013,37(1):165-170.
[20] 周怀来,李录明,罗省贤,等. 基于小波变换的改进阈值函数自适应去噪方法[J]. 物探化探计算技术,2006,28(2):173-177. ZHOU Huailai,LI Luming,LUO Shengxian,et al. A method of improved threshold function denoising based on wavelet analysis[J]. Computing techniques for geophysical and geochemical exploration,2006,28(2):173-177.
[21] 蔡希玲. 声波和强能量干扰的分频自适应检测与压制方法[J]. 石油地球物理勘探,1999,34(4):373-380. CAI Xiling. An effective method to suppress acoustic wave and high energy noise frequency-divisionally and adaptively[J]. Oil Geophysical Prospecting,1999,34(4):373-380.
[22] 秦婕,李辉峰,王宏伟,等. 叠前去噪技术在鄂尔多斯黄土塬区地震资料的应用[J]. 物探化探计算技术,2015,37(5):644-650. QIN Jie,LI Huifeng,WANG Hongwei,et al. The application ofpre-stack noise attenuation technology for seismic data of Soil Yuan area in Ordos basin[J]. Computing Techniques for Geophysical and Geochemical Exploration,2015,37(5):644-650.
Included in
Earth Sciences Commons, Mining Engineering Commons, Oil, Gas, and Energy Commons, Sustainability Commons