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丹佛乃贝侞(Niobrara)页岩油气田水平井加密数模研究

Study on the Encryption Mathematical Model of Horizontal Wells in the Shale Oil and Gas Field of Denver Niobrara

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【作者】 王展旭戚丽丽

【Author】 WANG Zhanxu;QI Lili;Institute of Smart Production Technologies of Shale Oil and Gas,Qingdao University of Science and Technology;

【机构】 青岛科技大学页岩油气智能开采工程技术研究所

【摘要】 美国丹佛乃贝伽页岩油气田水平井井网偏稀,井间滞留大量的未动用储量,需加密调整。基于智能完井"试测井资料约束下的井间参数微地震反演识别方法"研究,描述水力压裂增产后重新建造的页岩油气储层井间孔渗分布规律,并据此建立页岩油气微纳孔隙结构渗流数学模型,编制数值模拟器,在生产动态历史和储量拟合的基础上,反演推算井间孔隙度和渗透率,校验"试测井资料约束下的井间参数微地震反演识别"的孔渗数值,预测水平井井间剩余油分布和加密调整提高采出程度。截止2015年底,世界首例页岩油气水平井整体加密调整获得成功,加密井初期单井日产油水平112~136t,从而验证该页岩油气水平井加密调整数值模拟研究方法具有技术可行性。

【Abstract】 In the United States,the basic development well network of horizontal wells in the shale oil and gas field of Denver Niobrara is thin,which needs to be encrypted and adjusted to improve the oil production.Based on the study of"the method of micro-seismic inversion identification for well parameters constrained by logging data"to describe the distribution of pore permeability of shale oil and gas reservoirs reconstructed after hydraulic fracturing.By establish the mathematical model of pore structure seepage of shale oil and gas microstructure to develop a numerical simulator,and on the basis of the production dynamic history fitting and reserve fitting to calculate the porosity,permeability and saturation in the well,and to verify the pore permeability numerical value of"the micro-seismic inversion identification for well parameters constrained by logging data",then to predict the remaining oil distribution in horizontal wells and the adjustment of encryption to improve the degree of recovery.By the end of 2015,the world’s first comprehensive encryption and adjustment of Denver shale oil and gas wells has been successful,and at the beginning of the encryption horizontal well,the daily oil production of single well was 112~136 tons,which verifies that the numerical simulation method of the numerical simulation of shale oil and gas horizontal well is technically feasible.

【基金】 国家自然科学基金项目(51374133);山东省自然科学基金项目(Y2007F70)
  • 【文献出处】 青岛科技大学学报(自然科学版) ,Journal of Qingdao University of Science and Technology(Natural Science Edition) , 编辑部邮箱 ,2018年S1期
  • 【分类号】TE243
  • 【被引频次】1
  • 【下载频次】93
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