The Research On Carbonate Fractured And Caved Reservoir Parameters Quantitative Evaluation Methods

Carbonate reservoir is the good rich collective of natural gas, that cracks and corrosion holes is the most permeability reservoir space of oil and gas. The reason why the cracks carbonate area is difficult to predict, difficult to quantify, ultimately the carbonate area developing cracks and holes, cracks connected to holes improving the speed of hydrocarbon migration; The complexity of the causes of cracks, the diverse of control and influence factors, Strong heterogeneity and other characteristics, also to bringing multiple difficulties for the study of crack.Carbonate reservoirs with strong heterogeneity in PG region gas field; Diverse types of reservoir, the big changes of Facies, the low matrix porosity of reservoir. These factors lead to a quantitative fine description difficultly in PG gas reservoir. In order to guarantee the efficient development and stable gas PG, Need to cracks logging identification and characterization of reef with dual media research methods research.Based on reservoir characteristics of PG region, the region’s fractured qualitative identification and quantitative description to image logging data, logging ERMI imaging measurement data preprocessing, depth correction, and the last generation imaging map The imaging map displayed. Cracks recognition, due to the strong field PG reef flat reservoir heterogeneity, reservoir space in the area are mainly holes, cracks, fractured communication, such as voids. According crack image features on the imaging diagram, using imaging logging artificial tick-based approach will crack checked out, and quantitative calculation of fracture parameters, you can visually identify cracks. Recognition in the hole, from the electrical imaging logging image recognition method calculates the correlation of geological holes and quantitative parameters; paper, OTSU method binary image, in a way Freeman 8-chain code storage hole boundary information, According holes mark the boundary information storage and compute hole parameters. Results and domestic commercial software Logview comparative analysis, to achieve better results. Improve the accuracy and speed of recognition rate and hole parameters of holes. According to the response analysis of cracks in the conventional logging, image logging and reconstruction curve, predict fracture trend curve according to the degree of development, this paper proposes a method to identify fracture imaging and conventional logging based on a combination of established based on conventional and the imaging method of combining predict fracture model to improve the recognition rate of cracks.