發(fā)布時間：2018-02-24 19:52

  本文關(guān)鍵詞： 有機頁巖 測井解釋 最優(yōu)化 巖石物理建模　出處：《中國地質(zhì)大學(北京)》2015年碩士論文　論文類型：學位論文

【摘要】：與常規(guī)油氣儲層相比,有機頁巖礦物成分復雜,孔隙度小,滲透率低,流體賦存形式多樣,常規(guī)測井解釋理論與方法不再適用于有機頁巖儲層。有機頁巖巖石物理特性是測井與地震解釋的基礎(chǔ)和橋梁,而且國內(nèi)外關(guān)于其巖石物理特性研究較少。為了實現(xiàn)有機頁巖的測井精細解釋和地震儲層預(yù)測,針對該類非常規(guī)油氣儲層開展測井最優(yōu)化解釋與巖石物理特性研究具有重要理論研究意義和實際應(yīng)用價值。本文以有機頁巖地質(zhì)特征與測井響應(yīng)為基礎(chǔ),先后開展了最優(yōu)化測井解釋方法與巖石物理建模方法的研究。首先,開展了最優(yōu)化測井解釋理論和算法的研究,研究了信賴域法、模式搜索法、遺傳算法的原理及實現(xiàn)步驟,建立了有機頁巖的巖石物理模型,實現(xiàn)了有機頁巖地層的最優(yōu)化測井解釋,計算得到了各種礦物組分的含量。研究表明,模式搜索法計算精度較高,而利用5條測井曲線反演的礦物含量效果較好;其次,針對頁巖地層模型開展了巖石物理建模理論和方法研究,根據(jù)最優(yōu)化測井解釋得到的礦物含量,實現(xiàn)了縱橫波速度與彈性參數(shù)的計算方法,該理論與方法在有機頁巖地層中進行了實驗,計算得到的縱橫波速度、體積密度與偶極聲波測井一致性好,驗證了巖石物理建模方法的可靠性,證明了縱橫波速度與彈性參數(shù)估算方法的正確性;再次,研究了有機頁巖彈性參數(shù)與總有機碳含量的關(guān)系,初步總結(jié)了有機碳含量對彈性參數(shù)的影響規(guī)律;最后,針對某頁巖地層井,利用本文研究的最優(yōu)化測井解釋算法、巖石物理建模理論與方法,計算得到了礦物組分含量,估算了縱橫波速度與彈性參數(shù),應(yīng)用效果較好,再次驗證了本文所提出算法的正確性與適用性。該論文通過構(gòu)建有機頁巖巖石物理模型,實現(xiàn)了最優(yōu)化測井解釋和巖石物理建模方法,分析了其彈性屬性。研究成果為進一步研究有機頁巖的測井解釋與巖石物理奠定了一定基礎(chǔ)。
[Abstract]:Compared with conventional oil and gas reservoirs, organic shale has complex mineral composition, small porosity, low permeability, and various forms of fluid occurrence. Conventional logging interpretation theories and methods are no longer applicable to organic shale reservoirs. The physical properties of organic shale rocks are the basis and bridge of logging and seismic interpretation. In order to realize the fine logging interpretation of organic shale and the prediction of seismic reservoir, there is little research on the physical characteristics of rock at home and abroad. It has important theoretical significance and practical application value to carry out logging optimization interpretation and petrophysical characteristics study for this kind of unconventional oil and gas reservoirs. This paper is based on the geological characteristics and logging response of organic shale. First, the theory and algorithm of optimal logging interpretation are studied, and the principles and implementation steps of trust region method, pattern search method, genetic algorithm are studied. The rock physical model of organic shale is established, the optimum log interpretation of organic shale formation is realized, and the contents of various mineral components are calculated. Secondly, the theory and method of rock physical modeling are studied for shale formation model, according to the mineral content obtained by optimizing log interpretation, the mineral content is obtained by using 5 log curves. The method of calculating the velocity and elastic parameters of P-S wave is realized. The theory and method are tested in organic shale formation. The calculated velocities, bulk density and dipole acoustic logging are in good agreement with each other. The reliability of rock physical modeling method is verified, and the correctness of the estimation method of compressional and shear wave velocity and elastic parameters is proved. Thirdly, the relationship between elastic parameters of organic shale and total organic carbon content is studied. The effect of organic carbon content on elastic parameters is preliminarily summarized. Finally, the mineral component content is calculated by using the optimized log interpretation algorithm and the theory and method of rock physical modeling for a shale formation well studied in this paper. The velocities and elastic parameters of compressional and shear waves are estimated, and the application results are good, and the correctness and applicability of the proposed algorithm are verified again. In this paper, the physical model of organic shale rocks is constructed. The optimum logging interpretation and rock physical modeling method are realized and its elastic properties are analyzed. The research results lay a foundation for further research on logging interpretation and rock physics of organic shale.
【學位授予單位】：中國地質(zhì)大學(北京)
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：P618.13;P631.81

【參考文獻】

相關(guān)期刊論文 前1條

1 王世謙;陳更生;董大忠;楊光;呂宗剛;徐云浩;黃永斌;;四川盆地下古生界頁巖氣藏形成條件與勘探前景[J];天然氣工業(yè);2009年05期

，

本文編號：1531500