基于数值模拟法与油藏开发经营一体化思想的页岩油藏经济决策研究

doi:10.13809/j.cnki.cn32-1825/te.2021.03.016

Abstract

Abstract:

In the early stage of shale oil development, the investment is large and the recovery factor is low, bringing great risk of economic loss. Therefore, it is necessary to combine different development methods to study its economic decision. To this end, based on the idea of the integration of numerical simulation method and reservoir development and management, firstly, the economic decision-making system and oil price index prediction are established, and then a series of new methods for the selection of development mode at different stages and different oil prices are improved through the combination and optimization of various numerical simulation schemes. Taking the shale oil of Kong-2 Member in Cangdong Sag of Dagang Oilfield as an example, different overall development program indexes are predicted. Finally, based on the idea of reservoir development and management integration, the suitable development programs for different international oil prices are selected. By comparing the changes of the cumulative net present value of the single production plan and the combined production plan, it is found that the single production method with higher recovery factor is not necessarily the economic optimal plan. Finally, the most economical development plan with different oil price ranges is obtained, and a set of optimal method for the economic and efficient development plan of shale reservoir is formed.

Key words: shale oil, numerical simulation, development and management, international oil price, economic decision

CLC Number:

TE349

Haoqiang WU,Xiaolong PENG,Suyang ZHU, et al. Economic decision of shale reservoir based on numerical simulation and integration of reservoir development and management[J]. Petroleum Reservoir Evaluation and Development, 2021, 11(3): 404-413.

Figures/Tables 14

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References 21

[1]	李国欣, 朱如凯. 中国石油非常规油气发展现状、挑战与关注问题[J]. 中国石油勘探, 2020, 25(2):1-13.
	LI Guoxin, ZHU Rukai. Progress, challenges and key issues of unconventional oil and gas development of CNPC[J]. China Petroleum Exploration, 2020, 25(2):1-13.
[2]	王民, 石蕾, 王文广, 等. 中美页岩油、致密油发育的地球化学特征对比[J]. 岩性油气藏, 2014, 26(3):67-73.
	WANG Min, SHI Lei, WANG Wenguang, et al. Comparative study on geochemical characteristics of shale oil between China and U.S.A[J]. Lithologic Reservoirs, 2014, 26(3):67-73.
[3]	SAINI D, JIMENEZ I, REEDY C D, et al. A pseudo-SAGD scoping model for evaluating economic viability of heavy oil projects[J]. Journal of Petroleum Science and Engineering, 2016, 137:125-133. doi: 10.1016/j.petrol.2015.11.019
[4]	LIU Y, QIAN Y, XIAO H H, et al. Techno-economic and environmental analysis of coal-based synthetic natural gas process in China[J]. Journal of Cleaner Production, 2017, 166:417-424. doi: 10.1016/j.jclepro.2017.08.011
[5]	HUANG C, HOU H J, YU G, et al. Energy solutions for producing shale oil: Characteristics of energy demand and economic analysis of energy supply options[J]. Energy, 2020, 192:116603. doi: 10.1016/j.energy.2019.116603
[6]	SONG Z J, SONG Y L, LI Y Z, et al. A critical review of CO ₂ enhanced oil recovery in tight oil reservoirs of North America and China [J]. Fuel, 2020, 276:118006. doi: 10.1016/j.fuel.2020.118006
[7]	赵贤正, 周立宏, 蒲秀刚, 等. 断陷湖盆湖相页岩油形成有利条件及富集特征——以渤海湾盆地沧东凹陷孔店组二段为例[J]. 石油学报, 2019, 40(9):1013-1029.
	ZHAO Xianzheng, ZHOU Lihong, PU Xiugang, et al. Favorable formation conditions and enrichment characteristics of lacustrine shale oil in faulted lake basin: a case study of Member 2 of Kongdian Formation in Cangdong sag, Bohai Bay Basin[J]. Acta Petrolei Sinica, 2019, 40(9):1013-1029.
[8]	蒲秀刚, 金凤鸣, 韩文中, 等. 陆相页岩油甜点地质特征与勘探关键技术——以沧东凹陷孔店组二段为例[J]. 石油学报, 2019, 40(8):997-1012.
	PU Xiugang, JIN Fengming, HAN Wenzhong, et al. Sweet spots geological characteristics and key exploration technologies of continental shale oil: a case study of Member 2 of Kongdian Formation in Cangdong sag[J]. Acta Petrolei Sinica, 2019, 40(8):997-1012.
[9]	蒲秀刚, 时战楠, 韩文中, 等. 陆相湖盆细粒沉积区页岩层系石油地质特征与油气发现——以黄骅坳陷沧东凹陷孔二段为例[J]. 油气地质与采收率, 2019, 26(1):46-58.
	PU Xiugang, SHI Zhannan, HAN Wenzhong, et al. Petroleum geological characteristics and hydrocarbon discovery of shale system in fine-grained sedimentary area of lacustrine basin: A case study of Kong2 Member in Cangdong Sag, Huanghua Depression[J]. Petroleum Geology and Recovery Factor, 2019, 26(1):46-58.
[10]	刘小平, 刘庆新, 刘杰, 等. 黄骅坳陷沧东凹陷孔二段富有机质泥页岩地球化学特征[J]. 岩性油气藏, 2015, 27(6):15-22.
	LIU Xiaoping, LIU Qingxin, LIU Jie, et al. Geochemical characteristics of organic-rich shales of the second member of Kongdian Formation in Cangdong Sag, Huanghua Depression[J]. Lithologic Reservoirs, 2015, 27(6):15-22.
[11]	全国石油天然气标准化技术委员会. 致密油地质评价方法:GB/T 34906—2017[S]. 北京: 中国标准出版社, 2017.
	National Technical Committee 355 on Petroleum of Standardization Administration of China. Geological evaluating methods for tight oil: GB/T 34906—2017[S]. Beijing: China Standards Press, 2017.
[12]	宋海建. 页岩油藏有效开发方式可行性研究[D]. 北京: 中国石油大学(北京), 2017.
	SONG Hanjian. Feasibility study on effective development mode of shale oil reservoir[D]. Beijing: China University of Petroleum(Beijing), 2017.
[13]	严侠, 黄朝琴, 姚军, 等. 基于模拟有限差分的嵌入式离散裂缝数学模型[J]. 中国科学(技术科学), 2014, 44(12):1333-1342.
	YAN Xia, HUANG Zhaoqin, YAO Jun, et al. The embeded discrete fracture model based on mimetic finite difference method[J]. Scientia Sinica(Technologica), 2014, 44(12):1333-1342.
[14]	荆克尧, 陈霞, 欧阳婷萍. 油田勘探开发项目经济评价基准收益率的确定方法[J]. 河南石油, 2003, 17(6):63-65.
	JING Keyao, CHEN Xia, OUYANG Tingping. Calculation of base yield rate for economic evaluation of petroleum exploration and production projects[J]. Henan Petroleum, 2003, 17(6):63-65.
[15]	缪莉, 孙仁金, 荆克尧, 等. 油田开发项目基准收益率确定方法研究[J]. 河南石油, 2005, 19(4):88-90.
	MIAO Li, SUN Renjin, JING Keyao, et al. Research on the determination method of the benchmark rate of return in oilfield development projects[J]. Henan Petroleum, 2005, 19(4):88-90.
[16]	刘建武. 页岩储层的双孔形孔隙结构及其应用[D]. 合肥: 中国科学技术大学, 2019.
	LIU Jianwu. Dual-pore-shape structure in shale and its application in reservoir characterization[D]. Hefei: China University of Science and Technology, 2019.
[17]	李传亮. 两种双重介质的对比与分析[J]. 岩性油气藏, 2008, 20(4):128-131.
	LI Chuanliang. Two types of dual porosity media[J]. Lithologic Reservoirs, 2008, 20(4):128-131.
[18]	朱大伟, 胡永乐, 崔明月, 等. 局部网格加密嵌入式离散裂缝模型耦合预测压裂改造井产能[J]. 石油勘探与开发, 2020, 47(2):341-348.
	ZHU Dudawei, HU Yongle, CUI Mingyue, et al. Productivity simulation of hydraulically fractured wells based on hybrid local grid refinement and embedded discrete fracture model[J]. Petroleum Exploration and Development, 2020, 47(2):341-348.
[19]	赵清民, 伦增珉, 章晓庆, 等. 页岩油注CO ₂动用机理 [J]. 石油与天然气地质, 2019, 40(6):1333-1338.
	ZHAO Qingmin, LUN Zengmin, ZHANG Xiaoqing, et al. Mechanism of shale oil mobilization under CO ₂ injection [J]. Oil & Gas Geology, 2019, 40(6):1333-1338.
[20]	尚胜祥. 超临界CO ₂和助溶剂混相提高页岩油采收率研究 [D]. 青岛: 中国石油大学(华东), 2018.
	SHANG Shengxiang. Study on enhanced shale oil recovery by supercritical CO₂ and cosolvent miscibility[D]. Qingdiao: China University of Petroleum(East China), 2018.
[21]	施国良, 景志刚, 范丽伟. 基于Lasso和Xgboost的油价预测研究[J]. 工业技术经济, 2018, 37(7):31-37.
	SHI Guoliang, JING Zhigang, FAN Liwei. Research on the original oil price prediction based on Lasso-Xgboost combination method[J]. Industrial Technology & Economy, 2018, 37(7):31-37.

油藏性质	取值	油藏性质	取值
原油相对密度（g/cm³）	0.870 6	原始地层压力（MPa）	42.73
原油平均黏度（mPa·s）	15.57	地层水水型	CaCl₂型
原油平均蜡含量（%）	28	地层水矿化度（mg/L）	11 983
原油平均胶含量（%）	26.5	原油饱和压力（MPa）	11.34
储层平均孔隙度（%）	3.9	溶解汽油比（m³/m³）	46
储层平均埋深（m）	4 100	储层平均渗透率（10^-3 μm ²）	0.8
岩石平均脆性指数	72.4	储层有效厚度（m）	90 ~ 110
油藏压力系数	0.97 ~ 1.10	油藏温度梯度（℃/100 m）	2.86 ~ 3.12
原油地质储量（10⁸m³）	0.728	原油储量丰度（10⁴t/km²）	559.17

方案模式	井数	井型	改造形式	开发单元	部署时间（a）	采油速度（%）	合理配产（m³/d）	标定采收率（%）
衰竭式+CO₂驱替	205	水平井+直井	体积压裂	E₁,E₃,E₅	10 ~ 20,5 ~ 15,1 ~ 10	1.2	25 ~ 30	15 ~ 20
衰竭式+CH₄驱替
衰竭式+N₂驱替
衰竭式+CO₂吞吐	185	水平井	体积压裂	E₁,E₃,E₅	10 ~ 20,5 ~ 15,1 ~ 10	1.2	25 ~ 30	15 ~ 20
衰竭式+ CO₂吞吐+ CO₂驱替	205	水平井+直井	体积压裂	E₁,E₃,E₅	10 ~ 20,5 ~ 15,1 ~ 10	1.2	25 ~ 30	15 ~ 20
衰竭式+ CO₂吞吐+ CH₄驱替	205	水平井+直井	体积压裂	E₁,E₃,E₅	10 ~ 20,5 ~ 15,1 ~ 10	1.2	25 ~ 30	15 ~ 20

类别	项目	金额
压裂投资	设备动迁费（元）	1 000
	现场配液费（元）	1 500
	材料费（元）	200
	运输费（万元/井）	50
	人工费（万元/井）	60
举升投资	井口装置费（万元/井）	80
	年防蜡防胶费用（万元/井）	100
	井下装置费（万元/井）	100
注气费用	注CO₂（元/t）	500
	注N₂（元/t）	1 200
	注烃类气（元/m³）	0.5
	注CO₂,CH₄压缩机（万元/台）	30
	注N₂压缩机（万元/台）	20
产液处理	采油气费用（元/m³）	440
产液处理	污水处理（元/m³）	50

Economic decision of shale reservoir based on numerical simulation and integration of reservoir development and management

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