Automatic Identification And Quantitative Evaluation Of Fracture And Cave In Volcanic Reservoir

With the rapid development of the world economy,people are increasing demand for oil and gas resources.The oil and gas resources are of the greater importance with each passing day.Fracture and cave reservoir is the current important mining object,has been a hot research at home and abroad.At present,the domestic and foreign research on logging identification and interpretation of fractures in complex lithology of reservoir is not only the carbonate rocks,in recent years has been extended to igneous rock,metamorphic rock,even tight sandstone and shale.The volcano rock reservoir fracture are lack of systematic and quantitative well logging identification and interpretation;and the volcano rock cave are also lack of systematic and quantitative well logging identification and interpretation.The accurate identification of fractures and caves has been a difficult problem,volcano rock reservoir lithology is complex,the accuracy of conventional logging data is low,using imaging logging to recognition by human is time-consuming.There is less research on automatic recognition of fracture and cave and the recognition accuracy is not enough.Based on the conventional logging data and imaging logging data,this paper studies the automatic identification and quantitative evaluation of fracture and cave in the volcanic reservoir of Wangfu fault depression.The automatic identification of fractures and caves will greatly improve the efficiency of the development of volcanic reservoirs,and these studies can be used as reference and guidance for the identification of fractures and caves in other complex lithologic reservoirs.In the fracture recognition,firstly electric imaging logging has high vertical resolution but cumbersome and conventional fracture identification logging is convenient but it has low accuracy,this paper presents a new method for automatic identification of reservoir fractures,using conventional logging data and the electrical imaging micro conductivity which is after pretreatment to establish the conventional reservoir logging fracture comprehensive identification factor Y1 and electrical imaging reservoir fracture identification factor Y2,then use two factors to establish reservoir fracture identification factor Y.This method combines the advantages of conventional and imaging logging recognition,it can automatically identify fractures,which solved time-consuming shortcoming of artificial pick fracture of the imaging logging;and it can eliminate invalid fracture interference and identify effective fracture;and it has improved the fracture identification accuracy.The application of this method to the well in Wangfu area has a good application result.In caves recognition,the watershed algorithm is introduced into automatic identification of caves based on imaging logging data.The watershed algorithm is improved,and this method is realized based on platform MATLAB.The surface rate of hole is calculated quantitatively,and the distribution range of hole size is calculated.The application of fracture identification method and cave identification method are finally proposed to practical data of the palace area rift XX,and this paper carried out quantitative parameter calculation to the identified fractures and caves which achieved good results.Fracture and cave identification and quantitative interpretation and evaluation methods are established.