基于水体重力影响的底水气藏见水时间预测
Predicting the water breakthrough time in bottom-water gas reservoirs considering the influence of waterbody gravity
张文彪 1罗炫 2郑可3
作者信息
- 1. 天府永兴实验室 四川成都 610213
- 2. 中国石油西南油气田公司蜀南气矿 四川泸州 646000
- 3. 中国石油集团川庆钻探工程有限公司地质勘探开发研究院 四川成都 610051
- 折叠
摘要
底水气藏产水情况复杂,气井见水时间对底水气藏开发具有重大意义,以往对底水气藏见水时间的预测均未考虑水体重力的影响,导致对见水时间的预测不够准确.为进一步提高底水气藏见水时间预测的精度,基于渗流力学理论及流体在多孔介质中的流动规律,建立了考虑水体重力影响的底水气藏见水时间预测公式,运用单因素分析法研究了水体流度、水体密度、储层孔隙度、井底距底水距离及生产压差对见水时间的影响.研究表明:底水气藏见水时间与储层孔隙度、井底距底水距离呈正相关关系,与水体流度、水体密度及生产压差呈负相关关系.由于该方法引入水体密度来分析水体重力对气藏见水时间的影响,与忽略了水体重力影响的气藏见水时间预测方法相比,预测时间更符合气藏实际情况,对现场生产管理具有重要的指导意义.
Abstract
Water breakthrough time in gas wells is of great significance for the development of bottom-water gas reservoirs which always feature complex water-producing conditions.Its previous prediction did not take the effect of waterbody gravity into consid-eration,leading to inaccurate time.So,a formula to predict this time in such reservoirs considering the gravity effect was created on the basis of the theory of seepage mechanics and the patterns of fluid flow in porous media.Moreover,some controls of the waterbody mobility and density,reservoir porosity,distance between bottomhole and bottom water,and drawdown on the breakthrough time were clarified through single-factor analysis.Results show that this time in the bottom-water reservoirs is positively correlated with not only reservoir porosity but the distance,and negatively with the mobility and density together with the drawdown.Since the proposed methodology considers the waterbody density to analyze the gravity influence on the breakthrough time,the time predicted is in better agreement with actual one than the other prediction which ignores the gravity.Thus,this methodology is of guidance for on-site pro-duction management.
关键词
底水气藏/见水时间/水体重力/渗流力学/单因素分析/水体流度/水体密度/井底距底水距离Key words
Bottom-water gas reservoir/Water breakthrough time/Waterbody gravity/Seepage mechanics/Single-factor analysis/Waterbody mobility/Waterbody density/Distance between bottomhole and bottom water引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据