本文選題：紅星地區(qū) + 火成巖　； 參考：《東北石油大學(xué)》2017年碩士論文

【摘要】：火成巖作為一種特殊儲(chǔ)層,已成為遼河盆地重要的勘探目標(biāo)之一,但由于火成巖作為儲(chǔ)層時(shí),其儲(chǔ)集空間類型繁多、孔隙結(jié)構(gòu)復(fù)雜且非均質(zhì)性強(qiáng),給本文的研究工作帶來了很大的困難。本文以遼河?xùn)|部凹陷紅星地區(qū)最新采集的兩寬一高(寬方位、寬頻帶、高密度)地震資料為基礎(chǔ),由合成地震記錄將地震和測(cè)井資料結(jié)合起來,進(jìn)行地震層位標(biāo)定。運(yùn)用層序地層學(xué)、油氣地質(zhì)學(xué)和構(gòu)造地質(zhì)學(xué)等理論知識(shí),對(duì)紅星地區(qū)沙三中段地層進(jìn)行地震資料綜合解釋。通過對(duì)區(qū)域不同旋回期次界面的追蹤識(shí)別以及相干體輔助斷層的識(shí)別建立等時(shí)地層格架。通過地震層序理念的引入,將該區(qū)沙三中段火成巖內(nèi)部細(xì)分為兩大旋回四小期次,并落實(shí)了各旋回期次相應(yīng)的構(gòu)造特征;以此為基礎(chǔ),采用波形聚類、屬性分析等多種技術(shù)手段,分期次識(shí)別火成巖巖性和巖相,落實(shí)工區(qū)內(nèi)火成巖巖性和巖相的分布;同時(shí),針對(duì)火成巖的特殊情況,開發(fā)重構(gòu)出能夠反映儲(chǔ)層物性的優(yōu)勢(shì)儲(chǔ)層預(yù)測(cè)曲線,將該曲線應(yīng)用到地質(zhì)統(tǒng)計(jì)學(xué)反演中,預(yù)測(cè)出優(yōu)勢(shì)儲(chǔ)層體,識(shí)別出最優(yōu)儲(chǔ)層;最后綜合疊前OVT域技術(shù)和疊后曲率分析技術(shù)預(yù)測(cè)了火成巖裂縫發(fā)育區(qū)。在綜合分析基礎(chǔ)上,將優(yōu)選出的目標(biāo)區(qū)火成巖儲(chǔ)層劃分為Ⅰ、Ⅱ、Ⅲ類。
[Abstract]:Igneous rock, as a special reservoir, has become one of the important exploration targets in Liaohe Basin. However, when igneous rock is used as reservoir, its reservoir space is various, pore structure is complex and heterogeneity is strong. It brings great difficulties to the research work of this paper. Based on the newly collected seismic data of two widths and one height (wide azimuth, wide band, high density) in Hongxing area of the eastern depression of Liaohe River, the seismic horizon is calibrated by combining seismic and logging data with synthetic seismic records. Based on the theoretical knowledge of sequence stratigraphy, oil and gas geology and structural geology, the seismic data of the middle section of Sha3 in Hongxing area are interpreted comprehensively. The isochronous stratigraphic framework is established by tracing and identifying the sub-interfaces of different cycles and the identification of coherent void-assisted faults. By introducing the idea of seismic sequence, the igneous rocks in the middle part of the third member of the Shahejie area are subdivided into two cycles and four stages, and the corresponding structural characteristics of each cycle are implemented, and on this basis, waveform clustering is used. Attribute analysis and other technical means to identify igneous lithology and lithofacies by stages, to implement the distribution of igneous lithology and lithofacies in the working area, and to aim at the special circumstances of igneous rocks, The predominance reservoir prediction curve, which can reflect reservoir physical properties, is reconstructed and applied to geostatistical inversion to predict the superior reservoir body and identify the optimal reservoir. Finally, the prestack OVT domain technique and poststack curvature analysis technique are used to predict the fracture development area of igneous rocks. On the basis of comprehensive analysis, the selected igneous reservoirs in the target area are divided into class 鈪，

本文編號(hào)：1812517