首页> 外文会议>Society of Petroleum Engineers Nigeria Annual international Conference and Exhibition >Well and Reservoir Parameters Estimation (K and Skin) Using the Statistical Diagnostic Approach….Part II
【24h】

Well and Reservoir Parameters Estimation (K and Skin) Using the Statistical Diagnostic Approach….Part II

机译:利用统计诊断方法的井和储层参数估计(k和皮肤).... - 。ii

获取原文

摘要

In pressure transient analysis, the derivative, typecurve and semi-log pressure curve is used to estimate wellbore and reservoir parameters. How accurate are this figures which solely depend on the extent of the transient period as interpreted by the derivative plot considered for reservoir characterization. Though this approach is universally accepted by welltest analysts, reservoir engineers and the academia in the oil and gas industry but the possibility of over or under estimating wellbore and reservoir parameter is not in doubt, hence there is need to checkmate such interpretation using alternative approach This paper focus on permeability and skin estimation using the statistical approach to checkmate the quantitative interpretation of the derivative method. Part 1 of this work focus on flow regime identification using the statistical method. Result from channel sand, low and high permeability reservoir, infinite acting and closed boundary indicates that the estimated permeability for both approach is much closed. Maximum difference of about 13% is notice in closed boundary model while the minimum difference is about 1% in infinite acting reservoir response. Generally, the best match for K and S estimate is seen in channel sand and high K, acidized model. Also in all cases considered, lower slope is obtained from the Statdev approach which is responsible for lower estimated permeability. Invariably the Statdev depict larger extent of transient flow regime as compare with the derivative, making it applicable even where data whose fingerprint for the transient period are insufficient for the analysis.
机译:在压力瞬变分析中,衍生物,typecurve和半对数压力曲线被用于估计井眼和储层参数。如何准确的这个数字,其仅仅依赖于过渡周期的程度通过考虑用于油藏描述的导数图的解释。虽然这种做法是普遍的welltest分析,油藏工程师,并在石油和天然气行业的学术界但过高或过低的可能性接受估计井筒与储层参数是毫无疑问的,因此有必要用另一种方法这将死这样的解释使用统计方法将死衍生物方法的定量解释纸重点渗透性和皮肤估计。使用统计方法这项工作集中在流型识别的第1部分。从信道砂,低和高渗透性储层,无限演技和封闭边界结果表明,对于这两种方法所估计的渗透率大大关闭。的约13%最大的区别是在封闭边界模型通知,而最小差为约在无限作用贮存响应的1%。通常,对于K和S估计的最佳匹配被认为是在信道砂和高K,酸化模型。此外,在考虑所有的情况下,从Statdev方法,其负责下估计渗透性得到低斜率。无一例外的Statdev描绘较大的瞬态流动状态的程度与衍生物比较,使其成为适用即使在数据其指纹过渡周期不足以用于分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号