天然气工业
天然氣工業
천연기공업
NATURAL GASINDUSTRY
2009年
12期
20-22
,共3页
刘建党%谭学群%陈舒薇%张宇田
劉建黨%譚學群%陳舒薇%張宇田
류건당%담학군%진서미%장우전
鄂尔多斯盆地%大牛地气田%早二叠世%储集层%网状河%沉积相%三维模型%属性
鄂爾多斯盆地%大牛地氣田%早二疊世%儲集層%網狀河%沉積相%三維模型%屬性
악이다사분지%대우지기전%조이첩세%저집층%망상하%침적상%삼유모형%속성
Ordos Basin%Daniudi gas field%Early Permian%reservoir%braided river%sedimentary facies%3D model%attribute
下二叠统下石盒子组是大牛地气田低孔、低渗透岩性气藏的主要产气层之一,分析其储层的非均质性,精细描述储层的各种属性特征,是气田进一步开发的关键.为此,综合利用地质、地震、测井等各种资料,应用三维随机建模技术,根据两步法建模理论和地质统计结果,采用地震、沉积模式控制等多信息融合约束的建模方法,建立了研究区储层的沉积微相模型,精细描述了下石盒子组辫状河沉积特征,剖析了各沉积微相砂体的展布形态与叠置关系;依据相控建模方法,分析各微相下的属性分布特征,统计属性分布变密度函数,以已经建成的沉积微相模型为基础,完成各属性的随机模型,分级、分层次详细地描述储层的非均质性,并指出心滩沉积的粗砂岩、砂砾岩等为相对高孔、高渗带,是主要的产气砂体.
下二疊統下石盒子組是大牛地氣田低孔、低滲透巖性氣藏的主要產氣層之一,分析其儲層的非均質性,精細描述儲層的各種屬性特徵,是氣田進一步開髮的關鍵.為此,綜閤利用地質、地震、測井等各種資料,應用三維隨機建模技術,根據兩步法建模理論和地質統計結果,採用地震、沉積模式控製等多信息融閤約束的建模方法,建立瞭研究區儲層的沉積微相模型,精細描述瞭下石盒子組辮狀河沉積特徵,剖析瞭各沉積微相砂體的展佈形態與疊置關繫;依據相控建模方法,分析各微相下的屬性分佈特徵,統計屬性分佈變密度函數,以已經建成的沉積微相模型為基礎,完成各屬性的隨機模型,分級、分層次詳細地描述儲層的非均質性,併指齣心灘沉積的粗砂巖、砂礫巖等為相對高孔、高滲帶,是主要的產氣砂體.
하이첩통하석합자조시대우지기전저공、저삼투암성기장적주요산기층지일,분석기저층적비균질성,정세묘술저층적각충속성특정,시기전진일보개발적관건.위차,종합이용지질、지진、측정등각충자료,응용삼유수궤건모기술,근거량보법건모이론화지질통계결과,채용지진、침적모식공제등다신식융합약속적건모방법,건립료연구구저층적침적미상모형,정세묘술료하석합자조변상하침적특정,부석료각침적미상사체적전포형태여첩치관계;의거상공건모방법,분석각미상하적속성분포특정,통계속성분포변밀도함수,이이경건성적침적미상모형위기출,완성각속성적수궤모형,분급、분층차상세지묘술저층적비균질성,병지출심탄침적적조사암、사력암등위상대고공、고삼대,시주요적산기사체.
The Early Permian lower Shihezi Formation is one of the major payzones in the lithologic gas reservoirs with low porosity and low permeability in the Daniudi gas field, Ordos Basin. Analysis of the heterogeneity and fine description of the attributes of the reservoirs are critical to further development of this gas field. Taking all available data sources into account, we adopted the 3D stochastic modelling to built sedimentary micro-facies models for the reservoirs in the study area, described in detail the characteristics of braided river deposits in the lower Shihezi Formation, and analyzed the distribution and superimposition of sandbodies of various sedimentary micro-facies. By using the facies-controlled modeling method, we analyzed the characteristics of attribute distribution of each sedimentary micro-facies, performed statistics of variable density function of the attribute distribution, built a stochastic model for each attribute based on the sedimentary micro-facies models, and described in detail the reservoir heterogeneity. It is believed that the griststone and glutinite in channel bar deposits contribute to potential payzones because of their relatively high porosity and permeability.