煤层气经济井网密度优化模型及应用
CBM Economic Well Density Optimization Model and ApplicationLiu Jianye1, Liu Ruolei1, Luo Dongkun1, Zhai Yuyang2
浏览(1659) 下载(3)
- 引用格式:
-
刘键烨,刘若蕾,罗东坤,翟雨阳.煤层气经济井网密度优化模型及应用[J].天然气与石油,2019,37(1):115-121.doi:10.3969/j.issn.1006-5539.2019.01.019
Liu Jianye, Liu Ruolei, Luo Dongkun, Zhai Yuyang.CBM Economic Well Density Optimization Model and ApplicationLiu Jianye1, Liu Ruolei1, Luo Dongkun1, Zhai Yuyang2[J].Natural Gas and Oil,2019,37(1):115-121.doi:10.3969/j.issn.1006-5539.2019.01.019
- DOI:
- 10.3969/j.issn.1006-5539.2019.01.019
- 作者:
- 刘键烨1 刘若蕾1 罗东坤1 翟雨阳2
Liu Jianye1, Liu Ruolei1, Luo Dongkun1, Zhai Yuyang2
- 作者单位:
- 1. 中国石油大学(北京)工商管理学院,2. 中联煤层气国家工程研究中心有限责任公司
1. School of Economics and Management, China University of Petroleum; 2. China United Coalbed Methane State Engineering Research Center Co., Ltd.
- 关键词:
- 煤层气;井网密度;净现值
Coalbed methane; Well pattern density; Net present value
- 摘要:
-
经济因素对煤层气开发效益影响巨大,以往的井网密度优化研究集中在资源和技术层面,并未就井网密度对全生命周期内项目开发效益的影响进行深入分析,技术最优的井网密度不一定能获取最大的开发效益,因此有必要从开发效益的角度建立煤层气井网密度优化模型。通过分析受井网密度影响的现金流入与流出,拟合量化井网密度对采收率的影响,基于井网密度对勘探、钻井、压裂、地面工程建设等投资和经营成本、利息、税费等费用以及销售、补贴、返税等收入进行计算,最终基于折现现金流法建立了技术经济视角下的井网密度优化模型,并通过插值法和搜索算法实例运用了该模型,求取了示例区块的最优井网密度。煤层气开发经济井网密度优化模型作为资源技术类优化井网密度方法的补充,对煤层气开发设计中的井网部署具有重要的参考价值与指导意义。
Economic factors have a great impact on the benefits of coalbed methane development.Previous research on well pattern density optimization focused on resources and technology.It did not consider the development benefits of life cycle items.Therefore, it is necessary to establish a well pattern economic-optimization model.By analyzing the cash inflows and outflows affected by the density of the well network, the effect of well pattern density on recovery has been quantified and the investments of exploration, drilling, fracturing and ground construction, the costs of operating,interest and taxes,the imcomes of sales, subsidies and tax returns have been calculated.Finally, the well pattern optimization model was established, and the model was applied through an example of interpolation and search algorithms,whichhas important reference value and guiding significance for the coalbed methane well network deployment.