川東明月峽碳酸鹽巖地層流體性質識別
發(fā)布時間：2018-12-12 09:17
【摘要】：明月峽構造位于四川盆地川東高陡構造帶中部,目的層石炭系是川東地區(qū)的主力產(chǎn)層。由于近10年來勘探投資的轉移,石炭系新增儲量少,明月峽構造帶作為5個低勘探程度的新構造帶之一,是目前勘探的重點,對儲層“四性”的認識,尤其是對地層含流體性質的準確識別與評價成為擺在測井地質工作者面前首要解決的問題。本文通過對工區(qū)典型井的地質、測井和巖心資料等的分析處理,重點開展了石炭系碳酸鹽巖儲層流體性質的測井識別方法研究。 地層流體性質解釋符合率不高將增加區(qū)域鉆井風險、影響后期增產(chǎn)對策研究。本文針對儲層含流體性質識別,主要開展以下5個方面研究工作：①綜合應用CRA法、M-N交會圖和灰色關聯(lián)分析法識別地層巖性；②碳酸鹽巖儲層空隙空間的測井特征研究及儲層類型劃分；③儲層參數(shù)測井解釋模型建立；④基于常規(guī)測井資料的儲層含流體性質識別方法集成研究與氣層識別圖版的建立；⑤工區(qū)典型井測井多參數(shù)兩向量判別分析法的氣層識別。取得了以下研究成果和認識： (1)地層巖性識別是流體性質識別的基礎,亦是儲層含氣性的主控因素之一。通過測井曲線自動取值分層,提取巖性特征參數(shù),總結得到了地層中主要巖性的M、N值等測井特征參數(shù)變化規(guī)律。應用基于巖石體積物理模型的CRA法、M-N交會圖和灰色關聯(lián)分析法對工區(qū)巖性進行逐點和分層自動識別。研究認為M-N交會圖和灰色關聯(lián)分析法用于識別工區(qū)地層巖性效果較好。 (2)復雜的原生孔隙和次生孔隙組合使碳酸鹽巖儲集層類型復雜多樣�；谔妓猁}巖空隙空間的測井特征研究,結合動靜態(tài)資料分析,將工區(qū)碳酸鹽巖儲層劃分為3類：孔隙型、裂縫-孔隙型和裂縫型,并合理地劃分單井剖面上的石炭系儲層。 (3)在系統(tǒng)認識工區(qū)巖性、物性及儲層特征的基礎上,以巖心分析數(shù)據(jù)為刻度依據(jù),優(yōu)選儲層參數(shù)計算模型；根據(jù)工區(qū)石炭系孔隙度、滲透率下限和泥質含量上限對儲層品質分級與統(tǒng)計分析,研究發(fā)現(xiàn)工區(qū)石炭系儲層物性較好,孔隙以中小孔為主,三類儲層厚度占儲層總厚度近一半的比例,對產(chǎn)能有一定的影響。 (4)結合儲層類型劃分結果,充分利用已有試氣結論對典型氣層、差氣層和水層段建立了適合明月峽構造地層流體性質識別圖版(RT與RT/RXO、RT與POR、POR與Sw、 POR3與△R),能較明顯的識別流體性質。提取高分辨率的特征參數(shù)(三孔隙度比值POR3、深淺電阻率差比值△R、巖性系數(shù)DTGR和地層水參數(shù)SRw),采用兩向量判別分析法有效直觀地識別地層含流體性質,并經(jīng)測試、生產(chǎn)動態(tài)等資料驗證,回判率高。 基于上述地層巖性識別、儲層劃分、儲層參數(shù)計算和流體性質判別等關鍵問題研究,形成了工區(qū)裸眼井電纜測井(靜態(tài))識別碳酸鹽巖石炭系儲層流體性質的方法和技術,應用效果良好,為工區(qū)后期射孔、試氣等作業(yè)提供了測井地質依據(jù)。
[Abstract]:The Mingyexia structure is located in the middle of the East Sichuan high and steep structural belt in Sichuan Basin, and the Carboniferous system is the main producing layer in the east Sichuan Basin. Because of the transfer of exploration investment in the last 10 years, the new reserves of Carboniferous system are few. As one of the five new structural zones with low exploration degree, the Mingyexia structural belt is the focus of exploration at present. In particular, the accurate identification and evaluation of fluid-bearing properties of formation has become the most important problem to be solved by logging geologists. Based on the analysis and processing of geological, logging and core data of typical wells in the working area, the logging identification method for the fluid properties of Carboniferous carbonate reservoirs is studied in this paper. The low coincidence rate of interpretation of formation fluid properties will increase the risk of regional drilling and affect the countermeasures of increasing production in the later stage. In this paper, the following five aspects of research work are mainly carried out in order to identify the fluid-bearing properties of reservoirs: (1) the comprehensive application of CRA method, M-N cross plot and grey correlation analysis method to identify the lithology of strata; (2) study on logging characteristics and classification of pore space in carbonate reservoir; (3) establishment of logging interpretation model for reservoir parameters; (4) integrated study on identification method of fluid bearing properties of reservoir based on conventional logging data and establishment of gas reservoir identification chart; 5. Gas reservoir identification based on multi-parameter two-vector discriminant analysis for typical well logging in the working area. The following research results and understandings have been obtained: (1) the recognition of stratigraphic lithology is the basis of fluid property identification and one of the main controlling factors of reservoir gas-bearing property. Through automatic stratification of logging curve, lithologic characteristic parameters are extracted, and the variation law of logging characteristic parameters such as Mon N value of main lithology in formation is summarized. CRA method based on rock volume physical model, M-N cross plot and grey relational analysis are used to identify lithology point by point and stratification automatically. It is considered that M-N cross plot and grey correlation analysis are effective in identifying stratigraphic lithology in the working area. (2) the complex combination of primary and secondary pores makes carbonate reservoir types complex and diverse. Based on the study of logging characteristics of carbonate pore space and the analysis of dynamic and static data, the carbonate reservoir in the working area is divided into three categories: pore type, fracture-pore type and fracture type, and the Carboniferous reservoirs in single well profile are reasonably divided. (3) based on the systematic understanding of the lithology, physical properties and reservoir characteristics, the reservoir parameter calculation model is selected on the basis of core analysis data. According to the classification and statistical analysis of Carboniferous porosity, lower permeability limit and upper limit of muddy content, it is found that the physical properties of Carboniferous reservoirs in the working area are good, and the pores are mainly mesoporous. Three types of reservoir thickness account for nearly half of the total reservoir thickness, which has a certain impact on productivity. (4) combined with the result of reservoir type classification, the typical gas reservoir, differential gas reservoir and water zone are used to identify the fluid properties of the typical gas reservoir, differential gas reservoir and water layer (RT and RT/RXO,RT and POR,POR and Sw,). POR3 and R), can clearly identify the fluid properties. High resolution characteristic parameters (three porosity ratio POR3, depth and shallow resistivity difference ratio R), lithology coefficient DTGR and formation water parameter SRw), are extracted to identify effectively and intuitively the fluid-bearing properties of formation by using two-vector discriminant analysis. Production dynamics and other data validation, high rate of award back. Based on the study of the above key problems such as stratigraphic lithology identification, reservoir division, reservoir parameter calculation and fluid property discrimination, a method and technique for identifying the fluid properties of carbonate Carboniferous reservoirs by cable logging (static) in open-hole wells in the working area have been formed. The application effect is good, which provides logging geological basis for perforation and gas test in the later stage of work area.
【學位授予單位】：西南石油大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：P618.13;P631.81
本文編號：2374321
[Abstract]:The Mingyexia structure is located in the middle of the East Sichuan high and steep structural belt in Sichuan Basin, and the Carboniferous system is the main producing layer in the east Sichuan Basin. Because of the transfer of exploration investment in the last 10 years, the new reserves of Carboniferous system are few. As one of the five new structural zones with low exploration degree, the Mingyexia structural belt is the focus of exploration at present. In particular, the accurate identification and evaluation of fluid-bearing properties of formation has become the most important problem to be solved by logging geologists. Based on the analysis and processing of geological, logging and core data of typical wells in the working area, the logging identification method for the fluid properties of Carboniferous carbonate reservoirs is studied in this paper. The low coincidence rate of interpretation of formation fluid properties will increase the risk of regional drilling and affect the countermeasures of increasing production in the later stage. In this paper, the following five aspects of research work are mainly carried out in order to identify the fluid-bearing properties of reservoirs: (1) the comprehensive application of CRA method, M-N cross plot and grey correlation analysis method to identify the lithology of strata; (2) study on logging characteristics and classification of pore space in carbonate reservoir; (3) establishment of logging interpretation model for reservoir parameters; (4) integrated study on identification method of fluid bearing properties of reservoir based on conventional logging data and establishment of gas reservoir identification chart; 5. Gas reservoir identification based on multi-parameter two-vector discriminant analysis for typical well logging in the working area. The following research results and understandings have been obtained: (1) the recognition of stratigraphic lithology is the basis of fluid property identification and one of the main controlling factors of reservoir gas-bearing property. Through automatic stratification of logging curve, lithologic characteristic parameters are extracted, and the variation law of logging characteristic parameters such as Mon N value of main lithology in formation is summarized. CRA method based on rock volume physical model, M-N cross plot and grey relational analysis are used to identify lithology point by point and stratification automatically. It is considered that M-N cross plot and grey correlation analysis are effective in identifying stratigraphic lithology in the working area. (2) the complex combination of primary and secondary pores makes carbonate reservoir types complex and diverse. Based on the study of logging characteristics of carbonate pore space and the analysis of dynamic and static data, the carbonate reservoir in the working area is divided into three categories: pore type, fracture-pore type and fracture type, and the Carboniferous reservoirs in single well profile are reasonably divided. (3) based on the systematic understanding of the lithology, physical properties and reservoir characteristics, the reservoir parameter calculation model is selected on the basis of core analysis data. According to the classification and statistical analysis of Carboniferous porosity, lower permeability limit and upper limit of muddy content, it is found that the physical properties of Carboniferous reservoirs in the working area are good, and the pores are mainly mesoporous. Three types of reservoir thickness account for nearly half of the total reservoir thickness, which has a certain impact on productivity. (4) combined with the result of reservoir type classification, the typical gas reservoir, differential gas reservoir and water zone are used to identify the fluid properties of the typical gas reservoir, differential gas reservoir and water layer (RT and RT/RXO,RT and POR,POR and Sw,). POR3 and R), can clearly identify the fluid properties. High resolution characteristic parameters (three porosity ratio POR3, depth and shallow resistivity difference ratio R), lithology coefficient DTGR and formation water parameter SRw), are extracted to identify effectively and intuitively the fluid-bearing properties of formation by using two-vector discriminant analysis. Production dynamics and other data validation, high rate of award back. Based on the study of the above key problems such as stratigraphic lithology identification, reservoir division, reservoir parameter calculation and fluid property discrimination, a method and technique for identifying the fluid properties of carbonate Carboniferous reservoirs by cable logging (static) in open-hole wells in the working area have been formed. The application effect is good, which provides logging geological basis for perforation and gas test in the later stage of work area.
【學位授予單位】：西南石油大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：P618.13;P631.81
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