Fracture development degree identifying method of dense dolomite reservoir

Abstract

The invention discloses a fracture development degree identifying method of a dense dolomite reservoir. The fracture development degree identifying method comprises the steps that the lithological refined division of the dense dolomite reservoir is carried out, and fracture characteristics of different lithological segments are described, and a chart of a corresponding relation between the different lithological segments and the fracture characteristics is established; the fracture line density characteristic values of the different lithological segments are intersected with various well logging parameters by using a scattering method; various sensitive well logging parameters are selected from the various well logging parameters, and a quantitative evaluation model between the various sensitive well logging parameters and the fracture line density characteristic values of the different lithological segments is established; according to the established quantitative evaluation model, the fracture line density value of every well logging point is calculated, and a fracture line density curve is drawn, and the fracture development degree of the dense dolomite reservoir is identified. By adopting the method provided by the invention, a fracture development degree of a dense dolomite type oil reservoir is effectively evaluated, and then a scientific basis is provided for the reasonable development of the dense dolomite oil reservoir.

Description

technical field [0001] The invention relates to the technical field of petroleum exploration, in particular to a method for identifying the fracture development degree of tight dolomite. Background technique [0002] Tight dolomite reservoirs are characterized by low porosity and tightness. Due to the high brittleness of dolomite, the degree of fracture development is high, that is, the degree of fracture development increases with the increase of dolomite content. The presence of fractures significantly improves the seepage capacity of the reservoir, making the scale of oil and gas production in this type of reservoir reach industrial value, and the identification of fracture line density in tight dolomite reservoirs is a key issue in the exploration and development of this type of oil and gas reservoir. [0003] Currently, fracture identification is mainly based on two types of data, core and well logging. Due to the high cost of core data acquisition, fragile and incompl...

AI Technical Summary

Problems solved by technology

However, for tight reservoirs, the difference in such changes is small, and the single use of this logging data is not effective in identifying fractures.

[0007] (4) Although imaging logging can intuitively and visually show the two-dimensional geological characteristics of the borehole wall, there are problems such as high service cost, insufficient model information, and multi-solution of geological feature recognition in the application of imaging logging.

[0008] In the process of identifying the linear density of fractures in tight dolomite reservoirs using the existing technical methods, the existing conventional methods are prone to artificial qualitative errors, single logging data identification is prone to multiple solutions of geological phenomena, low accuracy, and prone to judgment defects , these methods cannot accurately characterize the development of reservoir fractures with high precision, which brings obstacles to the effective development of tight dolomite oil and gas reservoirs

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