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南海西部深水區(qū)陵水17-2氣田氣藏描述地球物理關(guān)鍵技術(shù)

發(fā)布時(shí)間:2018-05-09 18:44

  本文選題:深水氣田 + 氣藏描述; 參考:《吉林大學(xué)》2016年碩士論文


【摘要】:近年位于南海西部瓊東南盆地的深水區(qū)天然氣勘探取得重大突破,發(fā)現(xiàn)了我國(guó)第一個(gè)自營(yíng)勘探的深水高產(chǎn)大氣田—陵水17-2氣田。但在深水氣田的氣藏描述方面,仍然面臨砂體沉積模式復(fù)雜,砂體刻畫困難、地層橫向速度變化大,構(gòu)造落實(shí)精度低及儲(chǔ)層與含氣性預(yù)測(cè)結(jié)果不確定性大等問(wèn)題。為了提高深水氣藏的描述精度,精確評(píng)價(jià)深水氣藏的儲(chǔ)量規(guī)模,本論文以陵水17-2氣田儲(chǔ)量研究項(xiàng)目為依托,針對(duì)深水區(qū)氣藏描述中的三項(xiàng)關(guān)鍵技術(shù)進(jìn)行了研究,解決了深水區(qū)氣藏描述中的砂體及水道刻畫問(wèn)題、時(shí)深轉(zhuǎn)換問(wèn)題、儲(chǔ)層及含氣性預(yù)測(cè)問(wèn)題。針對(duì)深水區(qū)多砂體沉積、多水道侵蝕,沉積模式復(fù)雜,砂體刻畫難的問(wèn)題,首先以區(qū)域沉積規(guī)律為指導(dǎo),結(jié)合地震相干切片、頻率融合切片解釋等技術(shù)開(kāi)展大尺度下的峽谷及水道的刻畫;在此基礎(chǔ)上,進(jìn)行小尺度下的砂體描述,利用宏觀規(guī)律指導(dǎo)微觀解釋,峽谷及水道的空間形態(tài)約束各砂體的解釋范圍,利用全三維可視化地震解釋技術(shù)開(kāi)展砂體精細(xì)刻畫研究,精確落實(shí)了深水區(qū)砂體及水道的縱橫向展布。針對(duì)深水區(qū)橫向速度異常變化劇烈、時(shí)深轉(zhuǎn)換困難的難題,對(duì)比業(yè)界常用的各種時(shí)深轉(zhuǎn)換方法,在落實(shí)深水區(qū)地層速度規(guī)律的基礎(chǔ)上,分析了各種時(shí)深轉(zhuǎn)換方法在深水區(qū)的適用性,優(yōu)選出速度體建模的方法做為適用于深水區(qū)的時(shí)深轉(zhuǎn)換方法。以速度體建模方法為基礎(chǔ),在速度體的優(yōu)化方法、速度建模的細(xì)節(jié)方面開(kāi)展了深入研究,在速度體優(yōu)化方面,對(duì)原始速度品質(zhì)分析的基礎(chǔ)上,利用中值濾波算法對(duì)速度體的品質(zhì)進(jìn)行優(yōu)化,優(yōu)選出最優(yōu)的濾波窗口和濾波次數(shù);在速度建模方面,開(kāi)展了建模層位的優(yōu)選研究,根據(jù)該區(qū)的構(gòu)造沉積特征,優(yōu)選出最優(yōu)的模型控制層位。最后利用高精度建模得到的速度模型完成了各砂體的時(shí)深轉(zhuǎn)換,還原了地下砂體的真實(shí)構(gòu)造,利用交叉井驗(yàn)證的方法,分析了該方法預(yù)測(cè)的可靠性。針對(duì)深水區(qū)鉆井?dāng)?shù)量少,井控不足引起的儲(chǔ)層預(yù)測(cè)及含氣性預(yù)測(cè)困難問(wèn)題,從已鉆井巖石物理特征分析入手,開(kāi)展了以疊后疊前反演為基礎(chǔ)的儲(chǔ)層預(yù)測(cè)研究,結(jié)合平面上的沉積相認(rèn)識(shí)及鉆井統(tǒng)計(jì)規(guī)律,利用儲(chǔ)層反演成果對(duì)砂體的橫向展布特征及儲(chǔ)層物性的空間展布規(guī)律進(jìn)行預(yù)測(cè);在落實(shí)儲(chǔ)層的基礎(chǔ)上,開(kāi)展了基于振幅分析的半定量到定量含氣預(yù)測(cè)、以譜分解技術(shù)為基礎(chǔ)的含氣性預(yù)測(cè)研究,多角度預(yù)測(cè)結(jié)果相結(jié)合預(yù)測(cè)砂體的含氣邊界,同時(shí)與構(gòu)造描述的含氣范圍進(jìn)行交叉驗(yàn)證,精確落實(shí)了各砂體的含氣范圍。經(jīng)過(guò)本次研究,解決了研究區(qū)的砂體精細(xì)刻畫、時(shí)深轉(zhuǎn)換方法落實(shí)、儲(chǔ)層及含氣性預(yù)測(cè)等方面的諸多難點(diǎn)。首次將基于中值濾波的速度體優(yōu)化技術(shù)及井控層控的高精度速度建模技術(shù)應(yīng)用于深水區(qū)時(shí)深轉(zhuǎn)換;首次在深水區(qū)開(kāi)展振幅定量化、譜分解、屬性分析相結(jié)合的含氣性預(yù)測(cè)研究,精確預(yù)測(cè)了濁積砂體的儲(chǔ)層及氣層展布。研究成果為中國(guó)第一個(gè)自營(yíng)深水大氣田陵水17-2氣田的儲(chǔ)量評(píng)價(jià)提供了可靠的數(shù)據(jù)基礎(chǔ),同時(shí)為正在進(jìn)行的中國(guó)海油深水天然氣勘探提供了有效的技術(shù)借鑒。
[Abstract]:In recent years, the exploration of natural gas in the deep water area of the Southeast qiongnan basin of the South China Sea has made a major breakthrough. The first self exploration of the deep water field, Lingshui 17-2 gas field, is found in our country. However, in the description of the gas reservoir in the deep water gas field, the sand body deposition model is still complicated, the portrayed sand body is difficult, the lateral velocity of the formation is changed greatly and the structure falls. In order to improve the accuracy of the description of the deep water gas reservoir and to accurately evaluate the reserves of the deep water gas reservoir, this paper, based on the three key key technology in the description of the deep water gas reservoir, has solved the gas reservoir in the deep water area in order to improve the accuracy of the description of the deep water gas reservoir and accurately evaluate the reserves of the deep water gas reservoir. The paper, based on the Lingshui 17-2 gas field reserve research project, has studied the deep water reservoir description. The description of sand body and waterway portrayed, time depth conversion, reservoir and gas bearing prediction. In view of the problems of multi sand body deposition, multi channel erosion, complex sedimentary model and difficult sand body characterization in deep water area, first of all, it is guided by regional depositional law, combined with seismic coherent slice and frequency fusion section interpretation to carry out large scale. On the basis of the portrayal of Canyon and waterway, the description of sand body under small scale is carried out, micro interpretation is guided by macro law, the spatial form of Canyon and waterway constrains the interpretation range of each sand body, and the fine depiction of sand body is carried out by the full three-dimensional visual seismic interpretation technology, and the vertical and horizontal direction of the sand body and the waterway in the deep water area is accurately implemented. In order to solve the difficult problem of transversal velocity anomaly in deep water area and difficult time depth conversion, a variety of time depth conversion methods commonly used in the industry are compared. On the basis of implementing the law of formation velocity in deep water, the applicability of various time depth conversion methods in the deep water area is analyzed, and the method of velocity body modeling is selected as the time to apply to the deep water area. Deep conversion method. Based on the speed body modeling method, the optimization method of velocity body and the details of speed modeling are studied. On the basis of speed body optimization, the quality of speed body is optimized by median filtering algorithm on the basis of the analysis of the original speed quality, and the optimal filter window and filter times are optimized. In the field of velocity modeling, the optimization study of the modeling layer is carried out. According to the characteristics of the tectonic deposition in the area, the optimal model control layer is selected. Finally, the time depth conversion of each sand body is completed by the speed model obtained by high precision modeling, the real structure of the underground sand body is reduced, and the method of cross well verification is used to analyze the method. In view of the low number of drilling in deep water and the difficult problem of reservoir prediction and gas bearing prediction caused by insufficient well control, starting with the analysis of the physical characteristics of drilling rock, the reservoir prediction research based on pre stack inversion is carried out, and the reservoir inversion results are used in combination with the sedimentary recognition and drilling Statistics Law on the plane. The transverse distribution characteristics of sand body and the spatial distribution law of reservoir physical property are predicted. On the basis of reservoir implementation, the gas bearing prediction research based on the semi quantitative to quantitative gas prediction based on amplitude analysis is carried out based on the spectral decomposition technique, and the multi angle prediction results are combined to predict the gas bearing boundary of the sand body, and the structure is described with the structure. The gas range of the sand body is verified by cross validation, and the gas range of each sand body is carried out accurately. After this study, the fine depiction of sand body, the implementation of time depth conversion method, the reservoir and gas bearing prediction are solved. The technology of velocity body optimization based on median filtering and the high precision speed modeling technique of well controlled layer control are first applied. The technique is applied to the deep depth conversion in the deep water area; the reservoir and reservoir distribution of the turbidite sand body are accurately predicted by the gas prediction research combined with amplitude quantification, spectral decomposition and attribute analysis in the deep water area for the first time. The results provide a reliable data basis for the reserves evaluation of Lingshui 17-2 gas field in the first self operated deepwater atmosphere field. This provides effective technical reference for the ongoing exploration of deep sea natural gas in China Sea oil.

【學(xué)位授予單位】:吉林大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:P618.13

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