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井地ERT技术在沿河湾油区低孔低渗储层预测中的应用研究

The Reseaching of Applying the WELL ERT Technology at the Reservoir of Low Porosity and Low Percolation of Yanhewan Oil Region

【作者】 武小杰

【导师】 谭成仟;

【作者基本信息】 长安大学 , 地球探测与信息技术, 2008, 硕士

【摘要】 低渗、特低渗透油气资源在我国油气资源中占有十分重要地位,而且随着未来石油勘探程度的逐渐加深,其所占的比例还将继续增大,目前,长庆油田已动用储量中特低渗透油藏占61%,产量占年产油量的54.4%。因此,低渗、特低渗透储层在当前和今后一段时间内无疑是我国石油勘探的主战场,加强对低渗、特低渗透油气资源的研究对促进我国石油工业的持续稳定发展,具有重要的战略意义。本文以鄂尔多斯盆地沿河湾沿25井区的地质背景为出发点,综合应用地质、测井、测试、分析化验以及生产动态资料以及前人研究成果,利用井地ERT反演技术、地质约束的测井解释技术,建立储层参数解释模型、油气水层识别图版;开展地质条件约束下的测井资料二次精细解释,开展储层四性关系、井地ERT地质基础以及井地ERT反演技术研究,利用PETREL地质建模软件,采用井地ERT反演的区域电阻率和相控技术,建立储层电阻率、自然伽马、含油饱和度以及油层厚度的三维地质模型,进而开展有利勘探目标区预测。

【Abstract】 Low porosity and low percolation of oil and gas resource are very important in the oil and gas resource of our country, and it must be more important and more larger proportion in the pace of the developing of exploring level in the future . At present, changqing oil field has been explored 61% of the low porosity and low percolation reservoir and the yield of this reservoir has occupeded 54.4% of the yield of whole year.So, low porosity and low percolation of reservoir must be the main battlefield of the oil exploring now even for more longer time , reseaching the low porosity and low percolation reservoir are very important to the developing smoothly of the oil industry of our country .The paper mainly begins with the geological background of yan25 well region of ordors basin, applying Geology, Well logging, DST, Test and production materials to establish reservoir parameter interpretation, oil and water identifying plots. Carry out re-processing of logging data, reseach of four poroerties relations ,reseach the geology base of well ERT(Electrical Resistance Tomography) and ERT inverse,tablished 3D geological model through the software of PETREL.Then take the resistance of region of ERT inverse and the technoloigy that is under the control of facies ,seting up the 3D geological model of resistance of reservoir ,GR,the degree of saturation of oil and oil’s thickness . Through all of that predict the prospective area go step of further.

  • 【网络出版投稿人】 长安大学
  • 【网络出版年期】2009年 08期
  • 【分类号】P618.13
  • 【被引频次】6
  • 【下载频次】184
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