本文關鍵詞：煤層氣儲層密度測井環(huán)境校正方法研究　出處：《中國地質大學(北京)》2015年碩士論文　論文類型：學位論文

  更多相關文章： 密度 煤層氣儲層 蒙特卡羅 擴徑校正 標準化

【摘要】：煤層氣作為一種非常規(guī)能源,其開發(fā)越來越受到人們的重視,煤層氣密度測井在煤儲層識別和劃分、儲層參數(shù)計算方面具有重要作用。但由于煤儲層孔隙和割理較為發(fā)育、煤巖機械強度低,測井過程中擴徑現(xiàn)象明顯,導致密度測量值出現(xiàn)偏差。因此有必要針對煤儲層條件對密度測井曲線進行校正,還原煤層氣儲層真實密度值。論文針對煤儲層段擴徑嚴重的問題,以密度測井基本原理為基礎,通過蒙特卡羅數(shù)值模擬方法開展了包括密度測井儀器參數(shù)優(yōu)化、井眼擴徑模型建立、擴徑密度值的正演模擬等問題的研究,并完成密度測井擴徑校正圖版的繪制。最后通過對研究區(qū)密度測井資料的擴徑校正和標準化處理,驗證校正方案的合理性,達到消除井眼環(huán)境等非地層因素對密度測井影響的目的。論文首先采用蒙特卡羅計算方法完成了雙源距密度測井儀器的建模,通過對所獲取γ能譜結果進行處理,實現(xiàn)密度測井儀器參數(shù)的優(yōu)選。綜合考慮探測光子數(shù)和探測深度,確定了儀器短、長源距分別為13、33cm;設置短、長源距Na I(TI)探測晶體尺寸分別為Φ1.0*1.8、Φ1.5*6.0cm以達到探測效率的最優(yōu)化;劃分了在淡水泥漿情況下近、遠探測器的密度能窗范圍0.27~0.43、0.20~0.37Me V,擬合得到探測計數(shù)率與地層密度轉換關系。其次,在確定儀器結構基礎上,本文采用MCNP軟件模擬了煤層氣儲層不同程度的坍塌情況以探討井徑變化對密度測井儀器響應的影響,正演模擬計算了煤層擴徑密度值,并以“脊肋線”形式描繪了0~16cm擴徑條件下模擬儀器密度響應值與煤巖實驗值的差異。計算結果表明,擴徑情況下探測密度值偏小,隨著井徑的增大,正演密度值逐漸向井液密度值趨近。隨后論文以長源距探測器密度響應值為基礎計算得到不同擴徑條件下的校正量,并繪制相對應煤儲層密度的密度測井井徑校正圖版。最后,論文基于上述井徑校正圖版,利用Sino Log測井軟件對研究區(qū)內18口井密度資料進行了井眼擴徑校正,同時利用頻率直方圖法并完成了井間標準化處理。校正結果表明,采用上述方法校正后的密度資料有效地消除了井徑和非環(huán)境因素影響,校正結果比較理想。
[Abstract]:As a kind of unconventional energy, coalbed methane (CBM) development has been paid more and more attention, and CBM density logging is recognized and classified in coal reservoir. The calculation of reservoir parameters plays an important role, but due to the development of pore and cleat of coal reservoir, the mechanical strength of coal and rock is low, and the phenomenon of diameter expansion is obvious during logging. Therefore, it is necessary to correct the density log curve to reduce the true density value of coalbed methane reservoir. Based on the basic principle of density logging, this paper studies the optimization of density logging tool parameters, the establishment of borehole expanding model and the forward modeling of expanding density value by Monte Carlo numerical simulation method. Finally, the rationality of the calibration scheme is verified by the expansion correction and standardized processing of density logging data in the study area. In order to eliminate the influence of non-formation factors such as borehole environment on density logging, the paper first completes the modeling of dual source distance density logging tool by Monte Carlo method. By processing the results of 緯 -ray spectrum obtained, the parameters of density logging tool are optimized. Considering the number of photons and the depth of detection, it is determined that the instrument is short and the long source distance is 13 ~ 33cm. The crystal size of short, long source distance na I I I is 1. 8, 桅 1. 5 and 6. 0 cm, respectively, in order to optimize the detection efficiency. In the case of fresh water mud, the density energy window range of the far detector is 0.270.43 / 0.200.200.37Me V, and the relationship between the detection counting rate and the formation density conversion is obtained. On the basis of determining the instrument structure, this paper simulates the collapse of coalbed methane reservoir in different degrees by using MCNP software to discuss the influence of the change of well diameter on the response of density logging tool. The difference between the density response value of the simulated instrument and the experimental value of coal rock under the condition of 0 ~ 16cm diameter expansion is described in the form of "ridge rib line". The calculation results show that. Under the condition of expanding diameter, the detection density value is small, with the increase of well diameter. The forward density value is gradually approaching to the well fluid density value. Then, based on the density response value of the long source distance detector, the correction quantities under different expanding diameter conditions are calculated. And draw the density of coal reservoir density log diameter correction chart. Finally, the paper is based on the above well diameter correction chart. Sino Log logging software was used to correct the density data of 18 wells in the study area, and the frequency histogram method was used to complete the cross-well standardization processing. The density data corrected by the above method can effectively eliminate the influence of well diameter and non-environmental factors, and the correction results are satisfactory.
【學位授予單位】：中國地質大學(北京)
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：P618.13;P631.81

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