深层中低煤阶煤层气产能分类评价方法

陈国军; 潘拓; 张帆; 高明; 毛晨飞; 张啸; 张文芊; 范小秦

doi:10.3969/j.issn.1006-6535.2025.01.008

特种油气藏 >

2025 , Vol. 32 >Issue 1: 71 - 78

DOI: https://doi.org/10.3969/j.issn.1006-6535.2025.01.008

地质勘探

深层中低煤阶煤层气产能分类评价方法

陈国军 ,
潘拓 ,
张帆 ,
高明 ,
毛晨飞 ,
张啸 ,
张文芊 ,
范小秦

展开

1.中国石油新疆油田分公司,新疆乌鲁木齐 830013;
2.中国石油集团测井有限公司,陕西西安 710077

陈国军(1974—),男,高级工程师,2000年毕业于江汉石油学院电子仪器与信息技术专业,2008年毕业于中国石油大学(北京)地球探测与信息专业,获硕士学位,现从事石油地质研究工作。

收稿日期: 2023-11-13

修回日期: 2024-11-12

网络出版日期: 2025-05-13

基金资助

中国石油前瞻性基础性重大科技项目“煤层气勘探开发技术研究”(2021DJ2306)

收起

Classification and evaluation methods for the production capacity of deep low-medium rank coalbed methane

CHEN Guojun ,
PAN Tuo ,
ZHANG Fan ,
GAO Ming ,
MAO Chenfei ,
ZHANG Xiao ,
ZHANG Wenqian ,
FAN Xiaoqin

Expand

1. PetroChina Xinjiang Oilfield Company,Urumqi,Xinjiang 830013, China;
2. CNPC Logging Company,Xi′an,Shaanxi 710077, China

Received date: 2023-11-13

Revised date: 2024-11-12

Online published: 2025-05-13

Fold

摘要

针对深层煤岩储层孔隙度计算精度较低,浅部煤储层的产能关键因素评价方法难以适用于深层煤岩的产能预测等问题,提出了基于煤岩组分的变骨架孔隙度计算方法,并依据实测声波时差与重构声波时差比的含气饱和度计算模型等,构建了基质品质Q_m和结构品质Q_s两个模型,结合产能的高低,将煤岩储层划分为3类。研究表明:相较于浅部煤储层,深层煤储层的基质孔隙度、割理孔隙度、含气饱和度、煤体结构等是影响产能的关键因素;利用变骨架法孔隙度、双侧向法割理孔隙度、声波时差法含气饱和度等计算方法,提高了关键参数的计算精度,孔隙度计算精度由68.1%提升至90.5%;基于上述关键参数建立的产能分类评价方法,在深层中低煤阶储层中产能预测效果显著,产能预测符合率达到91.0%。该分类评价方法可为下一步煤层气勘探提供技术支撑。

关键词： 深层煤岩; 中低阶煤; 变骨架孔隙度; 煤体结构; 产能预测

本文引用格式

陈国军 , 潘拓 , 张帆 , 高明 , 毛晨飞 , 张啸 , 张文芊 , 范小秦 . 深层中低煤阶煤层气产能分类评价方法[J]. 特种油气藏, 2025 , 32(1) : 71 -78 . DOI: 10.3969/j.issn.1006-6535.2025.01.008

Abstract

A variable skeleton porosity calculation method based on coal-rock components is proposed in this study to address the issues such as low accuracy in calculating the porosity of deep coal rock reservoirs and the difficulty in applying critical factors methods to evaluate production capacity in deep coal rocks whereas it is applicable in shallow coal reservoirs.Furthermore,two models,namely matrix quality (Q_m) and structural quality (Q_s),are established based on gas saturation calculation models that are developed on the basis of ratios of measured acoustic travel time to reconstructed acoustic travel time.Based on these models and according to production capacity levels,the coal rock reservoirs are classified into three categories.The results show that compared to shallow coal reservoirs,the matrix porosity,cleat porosity,gas saturation,and coal mass structure of deep coal reservoirs are the primary factors affecting production capacity.The accuracy of porosity calculation with key parameters has improved by employing methods such as variable skeleton porosity,dual-lateral cleat porosity,and acoustic travel time method and gas saturation.Theprecision of porosity calculation has increased from 68.1% to 90.5%.The production capacity classification and evaluation method established on these key parameters has significant predictive effectiveness in deep low-medium rank coal reservoirs,achieving a prediction coincidence rate of 91.0%.This classification and evaluation method can provide technical support for the next coalbed methane exploration.

Key words： deep coal rock; low-medium rank coal; variable skeleton porosity; coal mass structure; production capacity prediction

参考文献

[1] 刘洪林,刘春涌,王红岩,等.西北低阶煤中生物成因煤层气的成藏模拟实验[J].新疆地质,2006,24(2):149-151.
LIU Honglin,LIU Chunyong,WANG Hongyan,et al.Simulation experiment of biogenic gas in northwest China[J].Xinjiang Geology,2006,24(2):149-151.
[2] 刘洪林,李景明,王红岩,等.水文地质条件对低煤阶煤层气成藏的控制作用[J].天然气工业,2008,28(7):20-22.
LIU Honglin,LI Jingming,WANG Hongyan,et al.Control of hydrogeological conditions on accumulationof coalbed methane in low-rank[J].Natural Gas Industry,2008,28(7):20-22.
[3] 刘洪林,李贵中,王红岩,等.西北低煤阶盆地生物成因煤层气成藏模拟研究[J].石油实验地质,2006,28(6):600-603.
LIU Honglin,LI Guizhong,WANG Hongyan,et al.Study on simulation of biogenic coalbed methane in the low coal rank basins in northwestern China[J].Petroleum Geology & Experiment,2006,28(6):600-603.
[4] 徐凤银,闫霞,李曙光,等.鄂尔多斯盆地东缘深部(层)煤层气勘探开发理论技术难点与对策[J].煤田地质与勘探,2023,51(1):115-118.
XU Fengyin,YAN Xia,LI Shuguang,et al.Theoretical and technological difficulties and countermeasures of deep CBM exploration and development in the eastern edge of Ordos Basin[J].Coal Geology & Exploration,2023,51(1):115-118.
[5] 王维旭,贺满江,王希友,等.筠连区块煤层气产能主控因素分析及综合评价[J].煤炭科学技术,2017,45(9):195-197.
WANG Weixu,HE Manjiang,WANG Xiyou,et al.Analysis on main controlling factors and comprehensive evaluation of coalbed methane production capacity of Junlian Block[J].Coal Science and Technology,2017,45(9):195-197.
[6] 万金彬,何羽飞,杨林,等.基于地质因素的煤层气储层压裂产能分类评价[J].测井技术,2019,43(2):157-160.
WAN Jinbin,HE Yufei,YANG Lin,et al.Classification and evaluation of post-fracturing productivity of coalbed methane reservoirs based on geological factors[J].Well Logging Technology,2019,43(2):157-160.
[7] 董震,葛祥,何传亮.测井综合评价指标在煤层气井产能评价中的应用[J].测井技术,2016,40(2):215-218.
DONG Zhen,GE Xiang,HE Chuanliang.Application of composite evaluation indicator from logs to productivity evaluation of coalbed gas well[J].Well Logging Technology,2016,40(2):215-218.
[8] 俞浩.新疆乌鲁木齐矿区煤层气储层测井评价与产能预测研究[J].中国煤层气,2022,19(2):2-8.
YU Hao.Study on logging evaluation and productivity prediction of coalbed methane reservoir in Urumqi mining area of Xinjiang[J].China Coalbed Methane,2022,19(2):2-8.
[9] 白生宝,王凤琴,杜厚余,等.煤储层条件对煤层气产能的影响分析[J].天然气勘探与开发,2015,38(2):47-50.
BAI Shengbao,WANG Fengqin,DU Houyu,et al.Analysis of the influence of coal reservoir conditions on coalbed methane productivity[J].Natural Gas Exploration and Development,2015,38(2):47-50.
[10] 刘娜,康永尚,李喆. 煤岩孔隙度主控地质因素及其对煤层气开发的影响[J].现代地质,2018,32(5): 964-968.
LIU Na,KANG Yongshang,LI Zhe.Geological controlling factors of coal pores system and its significance in CBM development[J].Geoscience,2018,32(5):964-968.
[11] 康永尚,邓泽,皇甫玉慧.中煤阶煤层气高饱和—超饱和带的成藏模式和勘探方向[J].石油学报, 2020,41(12):1556-1558.
KANG Yongshang,DENG Ze,HUANGFU Yuhui.Accumulation model and exploration direction of high to over-saturation zone of the midium-rank coalbed methane[J].Acta Petrolei Sinica,2020,41(12):1556-1558.
[12] 闵超,代博仁,石咏衡,等.基于聚类匹配的煤层气压裂效果主控因素识别[J].特种油气藏,2022,29(4):135-141.
MIN Chao,DAI Boren,SHI Yongheng,et al.Identification of main controlling factors of coalbed methane fracturing effect based on cluster matching[J].Special Oil & Gas Reserviors, 2022,29(4):135-141.
[13] 何发岐,董昭雄.深部煤层气资源开发潜力——以鄂尔多斯盆地大牛地气田为例[J].石油与天然气地质,2022,43(2):277-285.
HE Faqi,DONG Zhaoxiong.Development potential of deep coalbed methane:a case study in the Daniudi Gas Field,Ordos Basin[J].Oil & Gas Geology,2022,43(2):277-285.
[14] 郭肖,毛军,邸德家,等.基于产能分析的多煤层气藏产层组合选择[J].大庆石油地质与开发,2022,41(2):157-166.
GUO Xiao,MAO Jun,DI Dejia,et al. Selection of the production layer combination for multi coal seams based on productivity analysis[J].Petroleum Geology & Oilfield Development in Daqing,2022,41(2):157-166.
[15] 张鹏,曾星航,郑力会,等. 煤层气井两层合采气水同产井底流压计算方法[J]. 新疆石油地质,2023,44(4):497-508.
ZHANG Peng,ZENG Xinghang,ZHENG Lihui, et al.A calculation method of bottomhole flowing pressure in coalbed methane wells with double-layer commingled production in gas-water co-production stage[J].Xinjiang Petroloeum Geology, 2023,44(4):497-508.
[16] 李福堂,黄卫,陈海霞.考虑孔隙压缩及煤基质收缩效应的煤层气井产能预测模型及影响因素[J].大庆石油地质与开发,2023,42(5):168-174.
LI Futang,HUANG Wei,CHEN Haixia.Coalbed methane well productivity prediction model considering pore compressibility and coal matrix shrinkage effect and influencing factors analysis of well productivity[J].Petroleum Geology & Oilfield Development in Daqing,2023,42(5):168-174.
[17] 赵景辉.埋深对深部煤层气储层物性及开发效果的影响——以鄂尔多斯盆地东南缘延川南区块为例[J].油气地质与采收率,2022,29(3):62-67.
ZHAO Jinghui.Effect of burial depth on reservoir petrophysical properties and development performance of deep coalbed methane reservoirs:a case of Yanchuannan Block in southeastern margin of Ordos Basin[J].Petroleum Geology and Recovery Efficiency,2022,29(3):62-67.
[18] 郭绪杰,支东明,毛新军.准噶尔盆地煤岩气的勘探发现及意义[J].中国石油勘探,2021,26(6): 39-42.
GUO Xujie,ZHI Dongming,MAO Xinjun.Discovery and significance of coalbed measure gas in Junggar Basin[J].China Petroleum Exploration,2021,26(6):39-42.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献