岩性油气藏 ›› 2020, Vol. 32 ›› Issue (1): 144151.doi: 10.12108/yxyqc.20200116
张意超1, 陈民锋1,2, 屈丹1, 毛梅芬1, 杨子由1
ZHANG Yichao1, CHEN Minfeng1,2, QU Dan1, MAO Meifen1, YANG Ziyou1
摘要: 基于实际油藏井网加密调整后的动态开展效果预测研究,可为油田开发规划提供调整依据。通过对X油田特低渗透油藏井网加密调整前后开发动态变化分析,确定了加密增产效果变化规律及其主要影响因素;基于建立的反映实际油藏特点的典型数值模型,应用响应面设计方法和逐步回归方法,综合研究了不同因素变化对井网加密后增产效果的影响,并得到了反映特低渗透油藏特点的、考虑多因素影响的井网加密调整增产效果预测模型。预测模型在X油田特低渗透油藏中的实际应用表明,预测精度较高,并具有很强的针对性和实用性。本文建立的以“增产倍数”来表征油藏加密调整后的增产效果的方法,可为特低渗透油藏加密调整效果预测提供参考,并为此类油藏的开发规划提供可靠依据。
中图分类号:
[1] 聂光华, 高纯福.油藏数值模拟在油田开发调整中的应用:八面河油田面4区面3块开发调整方案研究.石油天然气学报(江汉石油学院学报), 2006, 28(4):324-326. NIE G H, GAO C F. Application of reservoir numerical simulation in oilfield development and adjustment:Study on the development and adjustment plan of the block 4 area of the Bamianhe Oilfield. Journal of Oil and Gas Technology(Journal of Jianghan Petroleum Institute), 2006, 28(4):324-326. [2] 于天忠.水平井化学驱物理模拟及数值模拟研究.岩性油气藏, 2013, 25(5):104-108. YU T Z. Study on physical simulation and numerical simulation of chemical flooding in horizontal wells. Lithologic Reservoirs, 2013, 25(5):104-108. [3] 张运来, 廖新武, 胡勇, 等. 海上稠油油田高含水期开发模式研究. 岩性油气藏, 2018, 30(4):120-126. ZHANG Y L, LIAO X W, HU Y, et al. Development models for offshore heavy oil field in high water cut stage. Lithologic Reservoirs, 2018, 30(4):120-126. [4] 李淑霞, 盖英杰, 张俨彬. 油藏数值模拟效果的定量评价方法.石油大学学报(自然科学版), 2001, 25(6):58-60. LI S X, GAI Y J, ZHANG Y B. Quantitative evaluation method for numerical simulation effects of reservoirs. Journal of the University of Petroleum, China(Natural Science Edition), 2001, 25(6):58-60. [5] 周游, 李治平, 景成, 等. 基于"岩石物理相-流动单元" 测井响应定量评价特低渗透油藏优质储层:以延长油田东部油区长6油层组为例. 岩性油气藏, 2017, 29(1):116-123. ZHOU Y, LI Z P, JING C, et al. Quantitative evaluation of favorable reservoir in ultra-low permeable reservoir based on "petrophysical facies-flow unit" log response:a case study of Chang 6 oil reservoir set in Yanchang Oilfield. Lithologic Reservoirs, 2017, 29(1):116-123. [6] 沈瑞, 李兆国, 段宝江, 等.王窑油田西部低渗透油藏正方形反九点井网加密调整物理模拟.油气地质与采收率, 2014, 21(3):89-91. SHEN R, LI Z G, DUAN B J, et al. Physical simulation of square anti-nine point well network in low permeability reservoirs in western Wangyao Oilfield. Petroleum Geology and Recovery, 2014, 21(3):89-91. [7] 向泽均, 李书静, 李新春, 等.长庆油田加密调整提高采收率技术.中国石油石化, 2017(3):43-44. XIANG Z J, LI S J, LI X C, et al. Encryption adjustment and enhanced oil recovery technology in Changqing Oilfield. China Petroleum & Petrochemical Corporation, 2017(3):43-44. [8] 毕岐.安塞油田王窑井网加密区水驱规律及改善开发效果研究.西安:西北大学, 2013. BI Q. Study on water flooding law and improvement effect of encryption area of Wangyao well in Ansai Oilfield. Xi'an:Northwest University, 2013. [9] 常广涛. 长庆特低渗油藏典型区块水驱波及规律研究.北京:中国石油大学, 2017. CHANG G T. Study on the law of water flooding in typical blocks of Changqing ultra-low permeability reservoir. Beijing:China University of Petroleum, 2017. [10] 胡建国, 陈元千.预测油气田产量的简单模型.中国海上油气(地质), 1995, 9(1):53-59. HU J G, CHEN Y Q. A simple model for predicting oil and gas field production. China Offshore Oil and Gas(Geology), 1995, 9(1):53-59. [11] 王俊魁, 李发印.预测油气田产量的一种新模型.新疆石油地质, 2001, 22(1):48-52. WANG J K, LI F Y. A new model for predicting oil and gas field production. Xinjiang Petroleum Geology, 2001, 22(1):48-52. [12] 黄全华, 付云辉, 陆云, 等.应用改进无偏灰色模型预测油气田产量.岩性油气藏, 2016, 28(5):117-122. HUANG Q H, FU Y H, LU Y, et al. Application of improved unbiased grey model to predict oil and gas field production. Lithologic Reservoirs, 2016, 28(5):117-122. [13] 刘传喜, 王树平, 刘延庆.油气田产量预测模型应用新方法. 石油与天然气地质, 2009, 30(3):384-387. LIU C X, WANG S P, LIU Y Q. Application of new method for oil and gas field production prediction model. Oil & Gas Geology, 2009, 30(3):384-387. [14] 金拴联, 蒋远征, 杨秋莲, 等.安塞油田注水开发技术研究.西北地质, 2008, 41(1):115-120. JIN S L, JIANG Y Z, YANG Q L, et al. Water injection development technology research in Ansai Oilfield. Northwest Geology, 2008, 41(1):115-120. [15] 靳星, 姬智贤, 关冲, 等.安塞油田长6储层四性关系及有效厚度下限研究.内蒙古石油化工, 2018(3):109-112. JIN X, JI Z X, GUAN C, et al. Study on the four-sex relationship and the effective thickness lower limit of the Chang 6 reservoir in Ansai Oilfield. Inner Mongolia Petrochemical, 2018(3):109-112. [16] 韩星.安塞油田H区延长组长4+5、长6油层组沉积相展布及石油聚集规律.国外测井技术, 2019, 40(3):50-56. HAN X. Sedimentary facies distribution and oil accumulation regularity of Chang 4+5 and Chang 6 oil-bearing formations in the Yanchang Formation of Ansai Oilfield. Foreign Well Logging Technology, 2019, 40(3):50-56. [17] 王磊.长庆油田王窑南地区延安组储层研究.大庆:东北石油大学, 2015. WANG L. Reservoir study of Yan'an Formation in Wangyao south area,Changqing Oilfield. Daqing:Northeast Petroleum University, 2015. [18] 罗宪波, 李金宜.基于响应面设计方法的海上油田注聚段塞优化研究. 重庆科技学院学报(自然科学版), 2016, 18(6):49-52. LUO X B, LI J Y. Based on the response surface design method for the optimization of the offshore oilfield segmentation stage, Journal of Chongqing University of Science and Technology (Natural Science Edition), 2016, 18(6):49-52. [19] 耿站立, 姜汉桥, 李杰, 等.正交试验设计法在优化注聚参数研究中的应用.西南石油大学学报, 2007, 29(5):119-121. GENG Z L, JIANG H Q, LI J, et al. Application of orthogonal experimental design method in the study of optimization of injection parameters. Journal of Southwest Petroleum University, 2007, 29(5):119-121. [20] 游士兵, 严研.逐步回归分析法及其应用.统计与决策, 2017(14):31-35. YOU S B, YAN Y. Stepwise regression analysis and its application. Statistics and Decision, 2017(14):31-35 [21] 付云, 尹洪超, 段林林, 等.基于逐步回归分析的海上原油反相点预测方法研究. 广东石油化工学院学报, 2012, 22(6):69-72. FU Y, YIN H C, DUAN L L, et al. Research on prediction method of reverse point of offshore oil based on stepwise regression analysis. Journal of Guangdong Institute of Petrochemical Technology, 2012, 22(6):69-72. [22] 顾伟欣, 周红.基于逐步回归分析的孔隙度预测方法.石油地质与工程, 2008, 22(1):37-39. GU W X, ZHOU H. Porosity prediction method based on stepwise regression analysis. Petroleum Geology and Engineering, 2008, 22(1):37-39. |
[1] | 张昌民, 张祥辉, 朱锐, 冯文杰, 尹太举, 尹艳树, Adrian J. HARTLEY. 分支河流体系研究进展及应用前景展望[J]. 岩性油气藏, 2023, 35(5): 11-25. |
[2] | 潘有军, 荆文波, 徐赢, 赵嗣君, 李继成, 陶登海. 火山岩油藏水平井体积压裂产能预测研究[J]. 岩性油气藏, 2018, 30(3): 159-164. |
[3] | 殷代印, 项俊辉, 王东琪. 大庆油田长垣外围特低渗透扶杨油层综合分类[J]. 岩性油气藏, 2018, 30(1): 150-154. |
[4] | 周游, 李治平, 景成, 谷潇雨, 孙威, 李晓. 基于“岩石物理相-流动单元”测井响应定量评价特低渗透油藏优质储层——以延长油田东部油区长6油层组为例[J]. 岩性油气藏, 2017, 29(1): 116-123. |
[5] | 关恒. 基于液油比的特高含水期水驱开发指标预测方法[J]. 岩性油气藏, 2013, 25(5): 100-103. |
[6] | 石玉江,李长喜,李高仁,李霞,周金昱,郭浩鹏. 特低渗透油藏源储配置与富集区优选测井评价方法[J]. 岩性油气藏, 2012, 24(4): 45-50. |
[7] | 于成龙,李慧敏,赵敏,罗池辉. 水驱油田井网加密合理井数的计算方法研究[J]. 岩性油气藏, 2011, 23(1): 111-113. |
[8] | 刘云, 卢渊,伊向艺,张俊良,张锦良,王振喜. 天然气水合物预测模型及其影响因素[J]. 岩性油气藏, 2010, 22(3): 124-127. |
[9] | 李善鹏,吴凯,方艳兵. 特低渗透油藏启动压力现象研究———以侯市地区为例[J]. 岩性油气藏, 2009, 21(1): 125-127. |
|