鄂爾多斯盆地南部長(zhǎng)7致密油儲(chǔ)層評(píng)價(jià)及分類
發(fā)布時(shí)間:2018-05-01 19:42
本文選題:鄂爾多斯盆地南部 + 長(zhǎng)7; 參考:《西北大學(xué)》2017年碩士論文
【摘要】:隨著全球油氣消耗量的不斷增長(zhǎng),常規(guī)油氣資源開發(fā)力度的不斷加大,常規(guī)油氣儲(chǔ)量大幅較小,作為常規(guī)油氣資源的接替區(qū),非常規(guī)油氣資源逐漸引起了人們的廣泛關(guān)注。鄂爾多斯盆地致密油資源豐富,儲(chǔ)集層規(guī)模大、石油充注程度高,但其儲(chǔ)層為致密儲(chǔ)層、儲(chǔ)層孔隙結(jié)構(gòu)復(fù)雜、非均質(zhì)性強(qiáng)、油水滲流關(guān)系復(fù)雜、資源動(dòng)用程度低,嚴(yán)重制約著盆地內(nèi)致密油資源的高效開發(fā)。因此,此次研究以鄂爾多斯盆地南部長(zhǎng)7致密油儲(chǔ)層為對(duì)象,結(jié)合巖心、鉆測(cè)井、鑄體薄片、顯微成像及實(shí)驗(yàn)測(cè)試資料,對(duì)長(zhǎng)7致密油儲(chǔ)層基礎(chǔ)地質(zhì)特征、砂體結(jié)構(gòu)特征、孔隙結(jié)構(gòu)特征、滲流特征及巖石力學(xué)特征進(jìn)行研究,優(yōu)選、擬合最能表征儲(chǔ)層各特征的參數(shù),建立可用于研究區(qū)致密油開發(fā)過程中有利儲(chǔ)層選擇的致密油儲(chǔ)層分類評(píng)價(jià)標(biāo)準(zhǔn),并對(duì)研究區(qū)儲(chǔ)層進(jìn)行分類。結(jié)合研究區(qū)長(zhǎng)7致密油儲(chǔ)層特征,經(jīng)過綜合考慮,確定從儲(chǔ)層砂體結(jié)構(gòu)、孔隙結(jié)構(gòu)、滲流特征及巖石力學(xué)特征方面入手對(duì)研究區(qū)儲(chǔ)層進(jìn)行評(píng)價(jià),在評(píng)價(jià)過程中優(yōu)選出兩項(xiàng)定性評(píng)價(jià)參數(shù)(砂體結(jié)構(gòu)、水驅(qū)油驅(qū)替類型),六項(xiàng)定量評(píng)價(jià)參數(shù)(流動(dòng)帶指標(biāo)FZI、最大喉道半徑、可動(dòng)流體有效孔隙度、油水兩相共滲區(qū)范圍、啟動(dòng)壓力梯度、儲(chǔ)層巖石礦物脆性指數(shù))用以建立儲(chǔ)層分類評(píng)價(jià)標(biāo)準(zhǔn)。研究區(qū)儲(chǔ)層箱型砂所對(duì)應(yīng)的孔隙度、滲透率指最大,鐘型其次,漏斗型及指型所對(duì)應(yīng)孔隙度、滲透率值最小,儲(chǔ)層砂體物性最差;流動(dòng)帶指標(biāo)數(shù)值越大,表明儲(chǔ)層孔隙、喉道匹配性越好;巖心最大喉道半徑是致密儲(chǔ)層滲透率的主控因素;可動(dòng)流體有效孔隙度能反映出儲(chǔ)層物性的好壞及孔喉配置結(jié)構(gòu)的優(yōu)劣;水驅(qū)油驅(qū)替方式可以定性表征儲(chǔ)層滲流能力;儲(chǔ)層巖心油水兩相共滲范圍越大,儲(chǔ)層滲流能力越好;啟動(dòng)壓力梯度與巖心氣測(cè)滲透率呈現(xiàn)出很好的負(fù)相關(guān)性,啟動(dòng)壓力梯度越大,儲(chǔ)層滲流能力越差;礦物脆性指數(shù)及力學(xué)脆性指數(shù)對(duì)儲(chǔ)層的巖石力學(xué)特征進(jìn)行評(píng)價(jià),研究發(fā)現(xiàn)儲(chǔ)層礦物脆性指數(shù)及力學(xué)脆性指數(shù)大小變化較為一致,與礦物脆性指數(shù)相比,力學(xué)脆性指數(shù)由于受儲(chǔ)層內(nèi)裂縫影響整體偏小,因此優(yōu)選礦物脆性指數(shù)用以評(píng)價(jià)儲(chǔ)層巖石力學(xué)特征。在所選八項(xiàng)評(píng)價(jià)參數(shù)的的基礎(chǔ)上,選擇六元分類系數(shù)法,將六項(xiàng)定量評(píng)價(jià)參數(shù)進(jìn)行擬合,得到定量綜合評(píng)價(jià)指標(biāo)Feci,結(jié)合八項(xiàng)單因素參數(shù),建立研究區(qū)致密油儲(chǔ)層分類評(píng)價(jià)標(biāo)準(zhǔn),將研究區(qū)致密油儲(chǔ)層分為Ⅰ~Ⅳ類。
[Abstract]:With the increasing of global oil and gas consumption and the increasing development of conventional oil and gas resources, the conventional oil and gas reserves are much smaller. As a replacement area of conventional oil and gas resources, unconventional oil and gas resources have been paid more and more attention. The Ordos Basin is rich in dense oil resources, large reservoir size and high degree of oil filling, but its reservoir is compact reservoir, with complex pore structure, strong heterogeneity, complex oil-water percolation relationship and low resource utilization. The efficient exploitation of dense oil resources in the basin is seriously restricted. Therefore, taking the South 7 tight oil reservoir in Ordos Basin as the object, combining the core, drilling logging, casting thin slice, microscopic imaging and experimental test data, the basic geological characteristics and sand body structure characteristics of the Chang 7 tight oil reservoir are analyzed. The pore structure, percolation and rock mechanics characteristics are studied, selected optimally, the parameters which can best represent the reservoir characteristics are fitted, and the classification and evaluation standard of dense oil reservoir is established, which can be used to select favorable reservoir in the development process of dense oil in the study area. The reservoir in the study area is classified. Combined with the characteristics of Chang 7 tight oil reservoir in the study area, through comprehensive consideration, the reservoir is evaluated from the aspects of reservoir sand body structure, pore structure, percolation characteristics and rock mechanics characteristics. In the process of evaluation, two qualitative evaluation parameters (sand body structure, water drive oil displacement type), six quantitative evaluation parameters (flow zone index FZI, maximum throat radius, effective porosity of movable fluid, range of oil-water two phase common permeability zone) are selected. Starting pressure gradient and reservoir rock mineral brittleness index) are used to establish reservoir classification and evaluation criteria. The porosity corresponding to reservoir box sand in the study area is the largest permeability index, followed by bell type, funnel type and finger type, the minimum permeability value and the worst physical property of reservoir sand body, the larger the flow zone index value, the more the reservoir porosity. The better the matching of throat is, the more the maximum throat radius of core is the main controlling factor of tight reservoir permeability, the effective porosity of movable fluid can reflect the physical property of reservoir and the advantage and disadvantage of pore throat configuration structure. The reservoir percolation ability can be qualitatively characterized by water drive oil displacement mode; the larger the reservoir core oil-water two phase common permeability range is, the better the reservoir percolation ability is, and the starting pressure gradient has a good negative correlation with the gas permeability measurement in the rock core. The larger the starting pressure gradient is, the worse the percolation capacity of reservoir is, and the mineral brittleness index and mechanical brittleness index are used to evaluate the rock mechanics characteristics of reservoir, and it is found that the change of mineral brittleness index and mechanical brittleness index is consistent. Compared with the mineral brittleness index, the mechanical brittleness index is less affected by the fractures in the reservoir, so the mineral brittleness index can be used to evaluate the mechanical characteristics of the reservoir rock. On the basis of the eight evaluation parameters selected, the six-element classification coefficient method is selected to fit the six quantitative evaluation parameters, and the quantitative comprehensive evaluation index Fecie is obtained. Combining with eight single factor parameters, the classification and evaluation criteria for dense oil reservoirs in the study area are established. The dense oil reservoirs in the study area are divided into 鈪,
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