本文選題：儲(chǔ)層反演 + 譜分解�。� 參考：《東北石油大學(xué)》2017年碩士論文

【摘要】：針對(duì)敖南油田敖A區(qū)塊儲(chǔ)層分布不穩(wěn)定、橫向變化快、單井鉆遇厚度薄、開(kāi)發(fā)風(fēng)險(xiǎn)大的勘探開(kāi)發(fā)問(wèn)題,本文提出了有效的綜合預(yù)測(cè)儲(chǔ)層的思路和方法,加強(qiáng)了對(duì)該區(qū)儲(chǔ)層分布規(guī)律的認(rèn)識(shí),為下一步的水平井位設(shè)計(jì)提供建議。本文將研究區(qū)的地震數(shù)據(jù)、測(cè)井曲線、地質(zhì)特征等資料緊密結(jié)合,在稀疏脈沖波阻抗反演的基礎(chǔ)上應(yīng)用譜分解技術(shù),精細(xì)刻畫(huà)了研究區(qū)薄互層砂體的空間展布情況,研究表明:敖A區(qū)塊P11、P12、P32、P42小層砂巖較發(fā)育,砂巖縱向疊加連片,具有北部厚、南部薄的特征,北部砂巖最厚9米,南部砂巖最厚2米,B3620098井區(qū)和M1705250井區(qū)為兩個(gè)低值區(qū),分布的砂巖厚度在1-2米。在此基礎(chǔ)上,利用Petrel軟件,對(duì)五種建模方法進(jìn)行優(yōu)選,優(yōu)選出最終模型能夠較真實(shí)反映地下地質(zhì)體空間展布特征的建模方法,即地震協(xié)同相控序貫指示克里金模擬方法,從而建立了研究區(qū)儲(chǔ)層的巖性模型和屬性模型。研究表明:敖A區(qū)塊砂體較發(fā)育小層 P11、P12、P32、P42 的孔隙度在 14%-18%,滲透率在22×10~(-3)μm~2-63±10~(-3)μm~2,兩者的高值區(qū)與同層的砂巖發(fā)育區(qū)有較好的對(duì)應(yīng)關(guān)系,為下一步水平井的設(shè)計(jì)提供依據(jù)。綜合波阻抗反演、譜分解和三維地質(zhì)建模研究成果,繪制敖A區(qū)塊綜合評(píng)價(jià)圖,在水平井潛力區(qū)評(píng)價(jià)基礎(chǔ)上,選擇直井深電阻值大于7Q·m,伽馬值小于90API的油層,砂體展布寬度大于900m,砂體規(guī)模儲(chǔ)量大于2.8×10~4t,砂體厚度大于0.6米的主力相帶區(qū)域,設(shè)計(jì)水平井5 口。
[Abstract]:Aiming at the problems of unstable reservoir distribution, fast lateral change, thin drilling thickness of single well and high development risk in AoA block of AoA block in Aonan Oilfield, this paper puts forward an effective thinking and method for comprehensive reservoir prediction. The understanding of reservoir distribution law in this area is strengthened, and suggestions for horizontal well level design in the next step are provided. In this paper, the seismic data, logging curves and geological characteristics of the study area are closely combined, and the spatial distribution of thin interbedded sand bodies in the study area is described by using spectral decomposition technique on the basis of sparse pulse wave impedance inversion. The results show that the sandstone is relatively developed in P11P12P32P2P42 in AoA block. The sandstone is stacked vertically, with the characteristics of thickness in the north and thin in the south. The thickest sandstone is 9 meters in the north, the thickest in the south is 2 meters in the B3620098 well area and two low value areas in the M1705250 well area. The thickness of the distributed sandstone is 1-2 m. On this basis, using Petrel software, five modeling methods are selected, and the final model is selected to reflect the spatial distribution characteristics of underground geological bodies, that is, seismic synergetic phase control sequential indicator Kriging simulation method. Thus, the lithologic model and attribute model of reservoir in the study area are established. The results show that the porosity of the sand body P11P12P32P42 is 14-18 and the permeability is 22 脳 10 ~ (-3) 渭 m ~ (-2) 渭 m ~ (-2). The relationship between the high value area of the sand body and the sandstone development area of the same layer is relatively good, which provides the basis for the design of horizontal wells in the next step. By synthesizing the research results of wave impedance inversion, spectral decomposition and 3D geological modeling, the comprehensive evaluation map of AoA block is drawn. On the basis of the evaluation of the potential area of horizontal wells, the reservoir whose depth resistance value is greater than 7Q m and gamma value less than 90 API is selected. Five horizontal wells are designed for the main facies zones with sand distribution width greater than 900m, sand body size more than 2.8 脳 10 ~ (4) t and sand body thickness greater than 0.6 m.
【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(lèi)號(hào)】：TE243;P618.13

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本文編號(hào)：2017304