本文選題：井震結(jié)合 + 裂縫建模�。� 參考：《東北石油大學(xué)》2017年碩士論文

【摘要】：本文主要應(yīng)用地震資料、測(cè)井資料、分層數(shù)據(jù)、斷點(diǎn)數(shù)據(jù),對(duì)斷層及層位進(jìn)行重新解釋,建立構(gòu)造模型,以測(cè)井巖性解釋為基礎(chǔ),優(yōu)選對(duì)本區(qū)儲(chǔ)層響應(yīng)敏感的地震屬性和測(cè)井曲線,開展地震屬性、地震反演儲(chǔ)層預(yù)測(cè),井震結(jié)合修改沉積相帶圖,建立巖相模型,進(jìn)而約束儲(chǔ)層屬性模型的建立,從而建立基質(zhì)模型。利用常規(guī)測(cè)井、成像測(cè)井、巖心資料進(jìn)行單井裂縫識(shí)別,并分析裂縫在三維空間的分布規(guī)律,得到裂縫強(qiáng)度屬性體,進(jìn)而建立裂縫網(wǎng)絡(luò)模型,等效處理后得到裂縫屬性參數(shù)。在基質(zhì)模型、裂縫模型的基礎(chǔ)上,結(jié)合室內(nèi)試驗(yàn)數(shù)據(jù)、生產(chǎn)動(dòng)態(tài)數(shù)據(jù),建立雙孔介質(zhì)數(shù)值模擬模型,開展精細(xì)歷史擬合,分析剩余油分布規(guī)律,結(jié)合油藏動(dòng)態(tài)分析認(rèn)識(shí),提出并優(yōu)選開發(fā)調(diào)整方案建議。
[Abstract]:In this paper, seismic data, logging data, stratification data, fracture point data are mainly used to reinterpret faults and horizons, and to establish structural models based on logging lithology interpretation.Selecting seismic attributes and logging curves sensitive to reservoir response in this area, developing seismic attributes, seismic inversion of reservoir prediction, well earthquakes combined with modification of sedimentary facies zone diagram, establishing lithofacies model, and then constraining the establishment of reservoir attribute model.Thus the matrix model was established.Using conventional logging, imaging logging and core data to identify single well fractures, and analyze the distribution of fractures in three dimensional space, obtain fracture strength attribute body, then establish fracture network model, and get fracture attribute parameters after equivalent processing.On the basis of matrix model and fracture model, combined with laboratory test data and production dynamic data, the numerical simulation model of double-pore medium was established, and fine historical fitting was carried out, the distribution law of remaining oil was analyzed, and the understanding of reservoir dynamic analysis was combined.Put forward and select and optimize the development adjustment scheme proposal.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P618.13
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本文編號(hào)：1743915