大洼油田油水層識別方法研究
發(fā)布時間:2018-08-26 17:48
【摘要】:自1988年1月在鉆洼16井過程中測試獲高產(chǎn)工業(yè)油流從而發(fā)現(xiàn)了大洼油田起,經(jīng)過幾十年不同開發(fā)方式連續(xù)開采,加之斷層發(fā)育,各區(qū)塊動用程度極不均勻,各層位水淹嚴重,準確識別油水層成為測井工作面臨的一個難題。本文首先對大洼油田儲層的地質(zhì)特征、物性特征、油水分布特征、流體性質(zhì)進行研究并分析影響儲層測井響應的地質(zhì)因素,包括巖性影響、膠結(jié)作用的影響、礦物成分的影響、成巖作用的影響。應用大量測井資料,試油資料和巖心分析資料,并對測井資料進行預處理。采用統(tǒng)計的方法研究大洼油田儲層四性關(guān)系,得出儲層礦物成分主要為長石砂巖,次為巖屑長石砂巖及少量的巖屑砂巖;油層以細砂巖為主;含油性以含油、油侵為主。根據(jù)儲層的四性關(guān)系研究可知,儲層的巖性越穩(wěn)定、物性越好,則含油級別也會比較高,并且電性顯示也會越好。選取關(guān)鍵井,建立儲層參數(shù)模型,包括泥質(zhì)含量模型、孔隙度測井解釋模型和滲透率解釋模型。優(yōu)選大洼油田測井曲線,建立油水層定性識別圖版。針對大洼油田儲層特征,利用三電阻率覆蓋法,及地層電阻率、計算的水層電阻率和油層臨界電阻率進行覆蓋與含水飽和度識別油水層法相結(jié)合對大洼油田進行定性和半定量的油水層識別。以三電阻率為主,含水飽和度法為輔主。結(jié)合試油資料表明,這兩種方法相結(jié)合在大洼油田識別油水層上取得了較好的成果。
[Abstract]:Since January 1988, when the high-yield industrial oil flow was obtained in the process of drilling the Wau 16 well, Dawa Oilfield has been discovered. After several decades of continuous production with different development methods and the development of faults, the production degree of each block is extremely uneven, and the water flooding of each layer is serious. Accurate identification of oil and water layers has become a difficult problem in logging work. In this paper, the geological characteristics, physical properties, oil-water distribution and fluid properties of the reservoir in Dawa Oilfield are studied and the geological factors affecting the logging response of the reservoir are analyzed, including lithology, cementation and mineral composition. The effect of diagenesis. A large number of logging data, well test data and core analysis data are used, and log data are preprocessed. The statistical method is used to study the relationship among the four properties of reservoir in Dawa Oilfield. It is concluded that the mineral composition of the reservoir is mainly feldspathic sandstone, followed by lithic feldspathic sandstone and a small amount of lithic sandstone, the reservoir is dominated by fine sandstone, and the oil bearing is mainly oil bearing and oil invasion. According to the study of the four properties of the reservoir, the more stable the lithology and the better the physical property, the higher the oil-bearing level and the better the electrical performance. The key wells are selected to establish reservoir parameter models, including muddy content model, porosity log interpretation model and permeability interpretation model. The logging curve of Dawa Oilfield is selected and the qualitative identification chart of oil and water reservoir is established. According to the reservoir characteristics of Dawa Oilfield, the three resistivity overlay method and the formation resistivity are used. The calculated resistivity of water layer and critical resistivity of reservoir are used to identify oil and water layers with the combination of oil-water layer method and water-bearing saturation method to identify oil and water layers qualitatively and semi-quantitatively in Dawa Oilfield. The three resistivity is the main factor, and the water saturation method is the main one. Combined with the test data, the combination of the two methods has achieved good results in identifying oil and water layers in Dawa Oilfield.
【學位授予單位】:東北石油大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:P618.13
本文編號:2205686
[Abstract]:Since January 1988, when the high-yield industrial oil flow was obtained in the process of drilling the Wau 16 well, Dawa Oilfield has been discovered. After several decades of continuous production with different development methods and the development of faults, the production degree of each block is extremely uneven, and the water flooding of each layer is serious. Accurate identification of oil and water layers has become a difficult problem in logging work. In this paper, the geological characteristics, physical properties, oil-water distribution and fluid properties of the reservoir in Dawa Oilfield are studied and the geological factors affecting the logging response of the reservoir are analyzed, including lithology, cementation and mineral composition. The effect of diagenesis. A large number of logging data, well test data and core analysis data are used, and log data are preprocessed. The statistical method is used to study the relationship among the four properties of reservoir in Dawa Oilfield. It is concluded that the mineral composition of the reservoir is mainly feldspathic sandstone, followed by lithic feldspathic sandstone and a small amount of lithic sandstone, the reservoir is dominated by fine sandstone, and the oil bearing is mainly oil bearing and oil invasion. According to the study of the four properties of the reservoir, the more stable the lithology and the better the physical property, the higher the oil-bearing level and the better the electrical performance. The key wells are selected to establish reservoir parameter models, including muddy content model, porosity log interpretation model and permeability interpretation model. The logging curve of Dawa Oilfield is selected and the qualitative identification chart of oil and water reservoir is established. According to the reservoir characteristics of Dawa Oilfield, the three resistivity overlay method and the formation resistivity are used. The calculated resistivity of water layer and critical resistivity of reservoir are used to identify oil and water layers with the combination of oil-water layer method and water-bearing saturation method to identify oil and water layers qualitatively and semi-quantitatively in Dawa Oilfield. The three resistivity is the main factor, and the water saturation method is the main one. Combined with the test data, the combination of the two methods has achieved good results in identifying oil and water layers in Dawa Oilfield.
【學位授予單位】:東北石油大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:P618.13
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