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短陂桥矿区煤层气生产井生产套管固井工艺探讨
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作者 李常辉 《国土资源导刊》 2019年第4期74-80,共7页
2012年湖南省煤田地质局第六勘探队承担了《湖南省邵阳市短陂桥矿区南段煤层气抽采关键工艺技术研发示范工程》项目,同年8月我队在邵阳市短陂桥矿区施工了一处煤层气生产井,井深540.26m、终孔井径215.9mm。依据矿区1、3煤层为高含气量... 2012年湖南省煤田地质局第六勘探队承担了《湖南省邵阳市短陂桥矿区南段煤层气抽采关键工艺技术研发示范工程》项目,同年8月我队在邵阳市短陂桥矿区施工了一处煤层气生产井,井深540.26m、终孔井径215.9mm。依据矿区1、3煤层为高含气量、高含气饱和度煤层,煤储层低压,应力场较高,中地解比、低渗透率的特征,采用低失水、高早强、胶结性能优良的均匀密度轻浆水泥体系,采取控制水泥返高保护煤层的固井工艺对生产试验井(以下称之为生产井)进行固井,取得了良好效果,为该地区的煤层气开发、固井作业提供参考。 展开更多
关键词 短陂桥矿区 煤层气生产井 生产套管 固井工艺
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无固相聚合物钻井液在柳林煤层气钻井中的应用 被引量:4
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作者 张振平 《河北煤炭》 2011年第5期51-52,54,共3页
根据柳林试验区煤层气开发利用一体化、低成本开发战略要求,在技术要求范围之内尽可能采用新工艺、新技术,以缩短钻井周期,提高作业效率,缩短钻井液对储层浸泡时间,减轻钻井液对储层伤害。在确保安全生产、施工质量的前提下,积极探索采... 根据柳林试验区煤层气开发利用一体化、低成本开发战略要求,在技术要求范围之内尽可能采用新工艺、新技术,以缩短钻井周期,提高作业效率,缩短钻井液对储层浸泡时间,减轻钻井液对储层伤害。在确保安全生产、施工质量的前提下,积极探索采用水基无固相聚合物钻井液,并采取相关的防范措施,经实践证明能有效地控制井下复杂情况的发生,达到了提高钻井速度、降低钻井成本的目的。 展开更多
关键词 煤层气生产井 无固相聚合物钻井液 时效分析
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空气潜孔锤技术在韩城煤层气井施工中的应用 被引量:3
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作者 贺晓强 姬永涛 +2 位作者 郭文祥 康少伟 孙金泽 《中国煤层气》 2014年第5期36-38,共3页
介绍了空气潜孔锤钻井工艺原理及在激烈的市场竞争中引进该工艺的重要意义,根据潜孔锤钻井特点和原理,分析了钻压、转速、气压、气量等钻井参数合理的确定方法。结合韩城煤层气区块实际情况,分析了空气潜孔锤钻进效率、施工注意事项,同... 介绍了空气潜孔锤钻井工艺原理及在激烈的市场竞争中引进该工艺的重要意义,根据潜孔锤钻井特点和原理,分析了钻压、转速、气压、气量等钻井参数合理的确定方法。结合韩城煤层气区块实际情况,分析了空气潜孔锤钻进效率、施工注意事项,同时提出了几点认识。实践证明,潜孔锤钻井技术是当前降低煤层气开发钻井成本的关键技术之一。 展开更多
关键词 煤层气生产井 潜孔锤钻井 钻井参数 钻进效率
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Research on forced gas draining from coal seams by surface well drilling 被引量:7
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作者 Wu Dongmei Wang Haifeng +1 位作者 Ge Chungui An Fenghua 《Mining Science and Technology》 EI CAS 2011年第2期229-232,共4页
Surface drilling was performed at the Luling Coal Mine,in Huaibei,to shorten the period required for gas draining.The experimental study was designed to reduce the cost of gas control by efficiently draining gas from ... Surface drilling was performed at the Luling Coal Mine,in Huaibei,to shorten the period required for gas draining.The experimental study was designed to reduce the cost of gas control by efficiently draining gas from the upper protected layer.The structural arraignment and technical principles of pressure relief via surface drilling are discussed.Results from the trial showed that gas drained from the surface system over a period of 10 months.The total amount of collected gas was 248.4 million m^3.The gas draining occurred in three stages:a growth period;a period of maximum gas production;and an attenuation period.The period of maximum gas production lasted for 4 months.During this time the methane concentration ranged from 60%to 90%and the average draining rate was 10.6 m^3/min.Combined with other methods of draining it was possible to drain 70.6%of the gas from middle coal seam groups.The amount of residual gas dropped to 5.2 m^3/ton,and the pressure of the residual gas fell to 0.53 MPa, thereby eliminating the outburst danger in the middle coal seam groups.The factors affecting pressure relief gas draining by surface drilling were analysed. 展开更多
关键词 Surface drilling Pressure relief gas Gas drainage Affecting factors
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Geologically controlling factors on coal bed methane (CBM) productivity in Liulin 被引量:5
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作者 GAO Li-jun TANG Da-zhen +4 位作者 XU Hao MENG Shang-zhi ZHANG Wen-zhong MENG Yan-jun WANG Jun-jian 《Journal of Coal Science & Engineering(China)》 2012年第4期362-367,共6页
It is of great significance to forecast high yield of CBM wells and analyze dynamic production by having an overall study on the characteristics of the produced CBM and determining the main factors influencing the pro... It is of great significance to forecast high yield of CBM wells and analyze dynamic production by having an overall study on the characteristics of the produced CBM and determining the main factors influencing the productivity of CBM. With the test report and the related geological parameters of a single well, methods of combining the productivity data and typical production curves were used to analyze different geological factors and how to influence the capacity of a single layer. Then, the paper proposed a new understanding about capacity characteristics of the study area and geological control factors: First, the Shanxi formation production capacity characteristics was divided into two-stages, showing signs of gas and gas break- through for 100 days. Second, two parameters, which include potential of gas production and gas production capacity, were bet- ter than the single parameter, such as gas content, coal thickness, and penetration to analyze affecting factors of single well pro- duction. Finally, comprehensive analysis concluded that the ratio of critical desorption pressure to reservoir pressure has greater influence on the production of vertical CBM wells. Besides, the potential of gas production capacity has greater impact at stage of showing gas signs; the coal reservoir pressure and gas production capacity have greater impact at stage of gas breakthrough for 100 days. Thus, to seek the coal bed methane with high ratio of critical desorption pressure to reservoir pressure and high yield of gas will be important guarantee to the success of the coal bed methane exploration and development. 展开更多
关键词 geological factors CBM production capacity Liulin potential of gas production gas deliverability ratio of critical desorption pressure to reservoir pressure
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The influence of high-yield-water characteristics on productivity of CBM wells and expulsion and production method carried out in Yanchuannan block of the Ordos basin, China 被引量:2
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作者 Xing-Long ZHAO Zu-Wei XU +2 位作者 Da-Zhen TANG Hao XU Shu TAO 《Journal of Coal Science & Engineering(China)》 2013年第4期514-521,共8页
In order to further study the influence of high-yield-water on the productivity of CBM (coalbed methane) wells and the expulsion and production method carried out in CBM wells, by means of analyzing and researching ... In order to further study the influence of high-yield-water on the productivity of CBM (coalbed methane) wells and the expulsion and production method carried out in CBM wells, by means of analyzing and researching production characteris- tics and geologic condition of the CBM wells with high water yield in Yanchuannan block located at the eastern margin of Or- dos basin, the mechanism of high water yield decreasing the productivity of CBM well was discussed, and the expulsion and production method for this type of CBM well was proposed. The results show that high water yield would decrease the produc- tivity of CBM wells, and the mechanism is: first, in some circumstances, high water yield could reflect that there was dissipa- tion during the process of coalbed methane reservoir forming, which would lower the gas saturation of coal gas reservoir and reduce the productivity of CBM well; second, a large quantity of coalbed methane dissipated in the form of solution gas, caus- ing the practical reservoir pressure when gas appeared in casing to be lower than critical desorption pressure of the coal bed; finally, the CBM well with high water yield would have higher requirements of discharge and mining installation, system and continuity, and any link with problems would have a great impact on the well's productivity and would increase the difficulty of discharge and mining. In the case of wells with high water yield, the key is to select applicable discharge and mining installa- tion, which should be able to make the bottom hole flowing pressure decline smoothly and fast, and make the wells produce gas as quickly as possible but able to slow down the rate of discharge and mining properly when gas has appeared. In addition, in view of the CBM wells with high water yield, an installation lectotype method based on Darcy's law was proposed, which was found with good accuracy and practicability through field application. 展开更多
关键词 Ordos basin Yanchuannan block CBM high water yield influence on productivity expulsion and productionmethod installation lectotype
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Productivity of coalbed methane wells in southern of Qinshui Basin 被引量:10
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作者 ZOU Mingjun WEI Chongtao +2 位作者 PAN Haiyang SESAY K Santigie CAO Jia 《Mining Science and Technology》 EI CAS 2010年第5期765-769,777,共6页
Based on regional CBM geological characteristics and drainage data of three typical Coalbed Methane(CBM) wells in the southern Qinshui Basin,history matching,productivity prediction and factor analysis of gas producti... Based on regional CBM geological characteristics and drainage data of three typical Coalbed Methane(CBM) wells in the southern Qinshui Basin,history matching,productivity prediction and factor analysis of gas production control are conducted by using COMET3 reservoir modeling software.The results show that in the next 20 years,the cumulative and average daily gas production of the QN01 well are expected to be 800×104 m3 and 1141.1 m3/d,for the QN02 well 878×104 m3 and 1202.7 m3/d and 97.5×104 m3 and 133.55 m3/d for the QN03 well.Gas content and reservoir pressure are the key factors controlling gas production in the area;coal thickness,permeability and porosity are less important;the Langmuir volume,Langmuir pressure and adsorption time have relatively small effect.In the process of CBM recovery,the material source and driving force are the key features affecting gas productivity,while the permeation process is relatively important and the desorption process has some impact on gas recovery. 展开更多
关键词 reservoir modeling history matching productivity prediction COMET3
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High rank coalbed methane desorption characteristic and its application in production in Qinshui basin 被引量:2
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作者 Bo WANG Fen-Jin SUN +4 位作者 Feng-Yin XU Bo JIANG Zhi-Hua SONG Jun-Hui WEN Yang ZHAO 《Journal of Coal Science & Engineering(China)》 2013年第3期321-324,共4页
Based on spontaneous desorption characteristic, the correlation of desorption time and gas content was analyzed and the application of it in production was researched. The desorption of high rank coalbed methane in Qi... Based on spontaneous desorption characteristic, the correlation of desorption time and gas content was analyzed and the application of it in production was researched. The desorption of high rank coalbed methane in Qinshui basin was periodic, and isotope fractionation effect also exists in the process. △δ^13C1 can be used to distinguish the stabilization of coalbed methane wells, associated with desorption rate, the individual well recoverable reserves can be calculated. Economically recoverable time can be predicted according to the logarithmic relationship between desorption gas content per ton and desorption time. The error between predicted result and numerical simulation result is only 1.5%. 展开更多
关键词 coalbed methane DESORPTION ISOTOPE DISCHARGE recovery reservoir Qinshui basin
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Productivity matching and quantitative prediction of coalbed methane wells based on BP neural network 被引量:9
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作者 LU YuMin TANG DaZhen +1 位作者 XU Hao TAO Shu 《Science China(Technological Sciences)》 SCIE EI CAS 2011年第5期1281-1286,共6页
It is a great challenge to match and predict the production performance of coalbed methane (CBM) wells in the initial production stage due to heterogeneity of coalbed, uniqueness of CBM production process, complexity ... It is a great challenge to match and predict the production performance of coalbed methane (CBM) wells in the initial production stage due to heterogeneity of coalbed, uniqueness of CBM production process, complexity of porosity-permeability variation and difficulty in obtaining some key parameters which are critical for the conventional prediction methods (type curve, material balance and numerical simulation). BP neural network, a new intelligent technique, is an effective method to deal with nonlinear, instable and complex system problems and predict the short-term change quantitatively. In this paper a BP neural model for the CBM productivity of high-rank CBM wells in Qinshui Basin was established and used to match the past gas production and predict the futural production performance. The results from two case studies showed that this model has high accuracy and good reliability in matching and predicting gas production with different types and different temporal resolutions, and the accuracy increases as the number of outliers in gas production data decreases. Therefore, the BP network can provide a reliable tool to predict the production performance of CBM wells without clear knowledge of coalbed reservoir and sufficient production data in the early development stage. 展开更多
关键词 BP neural network coalbed methane well productivity matching quantitative prediction
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