庫車坳陷克深2區(qū)塊白堊系巴什基奇克組裂縫分布及建模
發(fā)布時間：2018-10-31 06:58
【摘要】：在低孔低滲或致密裂縫型砂巖儲層研究中,裂縫無疑是重中之重,裂縫既是油氣運(yùn)移的主要通道也重要的儲集空間。庫車坳陷克深2區(qū)塊就是典型的低孔低滲致密性裂縫砂巖氣藏,且裂縫發(fā)育具有很強(qiáng)的非均質(zhì)性和不確定性。常規(guī)裂縫建模多基于螞蟻?zhàn)粉櫴侄蝸韺?shí)現(xiàn)裂縫預(yù)測,但由于研究區(qū)地震資料精度難以滿足裂縫預(yù)測需求,論文基于象元模擬理論,以成像測井統(tǒng)計(jì)裂縫參數(shù)為硬數(shù)據(jù),通過分析裂縫主控因素進(jìn)行關(guān)鍵點(diǎn)賦值,選擇序貫高斯隨機(jī)模擬為方法,實(shí)現(xiàn)目標(biāo)區(qū)塊的裂縫建模。模型直觀刻畫了研究區(qū)內(nèi)裂縫參數(shù)的分布特征及發(fā)育趨勢,為后期裂縫滲流行為及非均質(zhì)性研究提供有效地質(zhì)模型,并且規(guī)避了地震資料精度不足帶來的限制,豐富了儲層地質(zhì)建模研究方法。 通過對前人研究成果調(diào)研,以裂縫研究相關(guān)理論為指導(dǎo),本文以庫車坳陷克深2區(qū)塊白堊系巴什基奇克組裂縫為研究對象,通過野外露頭、巖心、薄片、成像測井等資料,對研究區(qū)的裂縫進(jìn)行了識別和精細(xì)描述,并結(jié)合主控因素選取相關(guān)算法建立裂縫模型。論文研究取得如下成果： (1)綜合運(yùn)用巖心、成像測井建立了一套完整的裂縫參數(shù)識別和計(jì)算方法,該方法對裂縫的識別精度達(dá)到0.1mm,裂縫拾取率達(dá)到80%。通過該方法對研究區(qū)22口單井成像測井資料進(jìn)行了裂縫參數(shù)的精細(xì)描述和數(shù)據(jù)庫建立。 (2)研究區(qū)以小縫發(fā)育為主,占89.6%,大、中縫分別只有1.8%、8.6%。裂縫主體走向?yàn)镾N和近EW向,裂縫傾向主要為NE、SW向,傾角變化范圍45°-75°,裂縫密度均值為0.53條/m,裂縫寬度范圍0.1-0.5mmm,延伸長度0.1-1m,面縫率區(qū)間為0.02%～0.08%。裂縫組合特征多樣,其中X共軛縫和網(wǎng)狀縫為主要類型。 (3)全區(qū)裂縫普遍發(fā)育,整體表現(xiàn)出較強(qiáng)的構(gòu)造控制特征,在近斷裂、背斜翼部和核部強(qiáng)烈變形區(qū)集中分布�？v向上裂縫主要分布在巴一、巴二段,巴三段整體發(fā)育程度低于巴一、巴二段,巴三段上部裂縫發(fā)育區(qū)的分布與距斷裂位置呈相關(guān)性；橫向裂縫發(fā)育延續(xù)性差,表現(xiàn)出較強(qiáng)非均質(zhì)性。 (4)通過對研究區(qū)裂縫發(fā)育主控因素分析,分背斜區(qū)和近斷裂區(qū)確定主要影響范圍并選取控制點(diǎn),擬合了層厚與裂縫密度、面縫率的關(guān)系公式,并依此選取關(guān)鍵井點(diǎn)并賦值,選取序貫高斯隨機(jī)模擬方法建立了裂縫密度和裂縫面縫率模型,實(shí)現(xiàn)了對研究區(qū)各層位、任一井點(diǎn)的平面、維裂縫分布預(yù)測。使用新井資料完成對模型的相關(guān)驗(yàn)證,模型整體準(zhǔn)確率達(dá)到80%。
[Abstract]:In the study of low porosity and low permeability or tight fractured sandstone reservoirs, fracture is undoubtedly the most important, and fracture is not only the main passage of oil and gas migration, but also an important reservoir space. Kesheng 2 block in Kuqa depression is a typical low porosity and low permeability tight fractured sandstone gas reservoir with strong heterogeneity and uncertainty in fracture development. The conventional fracture modeling is mostly based on ant tracing, but the precision of seismic data in the study area is difficult to meet the requirement of fracture prediction. This paper is based on the theory of pixel simulation and takes the statistical fracture parameters of imaging logging as hard data. By analyzing the main factors of fracture control, the key points are assigned, and sequential Gao Si random simulation is chosen as the method to realize the fracture modeling of the target block. The model intuitively depicts the distribution characteristics and development trend of fracture parameters in the study area, provides an effective geological model for the later study of seepage behavior and heterogeneity of fractures, and avoids the limitation brought by the lack of seismic data accuracy. It enriches the research methods of reservoir geological modeling. Based on the previous research results and the relevant theory of fracture research, this paper takes the Cretaceous Bashiki formation fracture of Kesheng 2 block in Kuqa depression as the research object, through field outcrop, core, thin slice, imaging logging and so on. The cracks in the study area are identified and described in detail, and the fracture model is established by selecting the relevant algorithms combined with the main control factors. The main achievements of this paper are as follows: (1) an integrated method of fracture parameter identification and calculation is established by using the core and imaging logging. The accuracy of the method is 0.1 mm and the pick up rate of fracture is 80 mm. Through this method, the fine description of fracture parameters and the establishment of database are carried out for 22 single well imaging logging data in the study area. (2) the study area was mainly composed of small joints, which accounted for 89.6, and the middle seams were only 1.8 and 8.6, respectively. The main strike of the fracture is SN and near EW, the tendency of fracture is mainly NE,SW, the angle of inclination is 45 擄-75 擄, the mean of fracture density is 0.53 / m, the width of fracture is 0.1-0.5 mm / m, and the extension length is 0.1-1m. The area of face seam is 0.02 and 0.08. The fracture assemblage is diverse, among which X conjugate joint and reticular joint are the main types. (3) the fractures in the whole area are generally developed, and the whole area shows a strong structural control feature, which is concentrated in the strong deformation areas near faults, anticline wings and nuclei. The longitudinal distribution of fractures is mainly in Ba -, Ba-2 and Ba-3 members, which are lower than that of Ba-2, Ba-2 and Ba-3 member. The distribution of fractures in the upper part of Ba-2 and Ba-3 member is correlated with the location of faults. The lateral fracture has poor development continuity, showing strong heterogeneity. (4) through the analysis of the main controlling factors of fracture development in the study area, the main influence area is determined and the control points are selected in the anticline area and the near fault area. The formula of the relationship between layer thickness and fracture density and fracture ratio is fitted, and the key well points are selected and assigned according to this formula. The fracture density and fracture surface fracture rate models are established by using sequential Gao Si random simulation method, and the dimension fracture distribution prediction is realized for the plane of each layer and any well point in the study area. The new well data is used to verify the model, and the overall accuracy of the model is 80%.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P618.13
本文編號：2301325
[Abstract]:In the study of low porosity and low permeability or tight fractured sandstone reservoirs, fracture is undoubtedly the most important, and fracture is not only the main passage of oil and gas migration, but also an important reservoir space. Kesheng 2 block in Kuqa depression is a typical low porosity and low permeability tight fractured sandstone gas reservoir with strong heterogeneity and uncertainty in fracture development. The conventional fracture modeling is mostly based on ant tracing, but the precision of seismic data in the study area is difficult to meet the requirement of fracture prediction. This paper is based on the theory of pixel simulation and takes the statistical fracture parameters of imaging logging as hard data. By analyzing the main factors of fracture control, the key points are assigned, and sequential Gao Si random simulation is chosen as the method to realize the fracture modeling of the target block. The model intuitively depicts the distribution characteristics and development trend of fracture parameters in the study area, provides an effective geological model for the later study of seepage behavior and heterogeneity of fractures, and avoids the limitation brought by the lack of seismic data accuracy. It enriches the research methods of reservoir geological modeling. Based on the previous research results and the relevant theory of fracture research, this paper takes the Cretaceous Bashiki formation fracture of Kesheng 2 block in Kuqa depression as the research object, through field outcrop, core, thin slice, imaging logging and so on. The cracks in the study area are identified and described in detail, and the fracture model is established by selecting the relevant algorithms combined with the main control factors. The main achievements of this paper are as follows: (1) an integrated method of fracture parameter identification and calculation is established by using the core and imaging logging. The accuracy of the method is 0.1 mm and the pick up rate of fracture is 80 mm. Through this method, the fine description of fracture parameters and the establishment of database are carried out for 22 single well imaging logging data in the study area. (2) the study area was mainly composed of small joints, which accounted for 89.6, and the middle seams were only 1.8 and 8.6, respectively. The main strike of the fracture is SN and near EW, the tendency of fracture is mainly NE,SW, the angle of inclination is 45 擄-75 擄, the mean of fracture density is 0.53 / m, the width of fracture is 0.1-0.5 mm / m, and the extension length is 0.1-1m. The area of face seam is 0.02 and 0.08. The fracture assemblage is diverse, among which X conjugate joint and reticular joint are the main types. (3) the fractures in the whole area are generally developed, and the whole area shows a strong structural control feature, which is concentrated in the strong deformation areas near faults, anticline wings and nuclei. The longitudinal distribution of fractures is mainly in Ba -, Ba-2 and Ba-3 members, which are lower than that of Ba-2, Ba-2 and Ba-3 member. The distribution of fractures in the upper part of Ba-2 and Ba-3 member is correlated with the location of faults. The lateral fracture has poor development continuity, showing strong heterogeneity. (4) through the analysis of the main controlling factors of fracture development in the study area, the main influence area is determined and the control points are selected in the anticline area and the near fault area. The formula of the relationship between layer thickness and fracture density and fracture ratio is fitted, and the key well points are selected and assigned according to this formula. The fracture density and fracture surface fracture rate models are established by using sequential Gao Si random simulation method, and the dimension fracture distribution prediction is realized for the plane of each layer and any well point in the study area. The new well data is used to verify the model, and the overall accuracy of the model is 80%.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P618.13
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