Carbonate reservoirs is an important oil and gas reservoir of carbonate reservoirs for thein-depth exploration of oil and gas resources in china has a very important significance. Bedifference of Conventional reservoirs, dissolved pores and structural fractures are oil and gasmigration pathways and the main reservoir space in carbonate reservoirs. Fractured reservoirs,however, have more complex void space structure with strong anisotropy greatly increasedthe difficulty of the oil and gas exploration. In this paper, considering of the carbonatereservoir’s low porosity, apparent anisotropy and strong heterogeneity, according to theimaging logging data and core analysis data, we researched a conventional logging methodsto identify fractures and holes in the carbonate reservoirs.In connection with the carbonate rock reservoir’s actual situation,combined with thelogging, geology, drilling and test data of the study area,we developed in-depth study ofcarbonate fracture-cave reservoir characteristics. We studied the practices and imaginglogging response characteristics of fractures and holes. In connection with the conventionallogging data and imaging logging data, we study an effective, fast and more accurateidentification method of carbonate reservoirs by cross plots, comprehensive prediction or bpneural network methods. We recognized that there are interstitial material filling the reservoirseam holes and the interstitial material has a great impact on the store and seepage ability ofreservoir. We studied an identification method of interstitial material filling the reservoir. Inconnection with the geology, drilling, logging and testing data, use of multivariate statisticalanalysis, neural networks, and other mathematical methods to study the matching relationshipof cracks and pores, create a carbonate fracture-cave reservoir division method by welllogging. The above method has a very important significance for predicting favorablecarbonate fracture zone and looking for carbonate fracture-cave reservoir. |