| Popis: |
Presently, tight carbonate reservoirs with high gas production in lower Paleozoic of Changqing Oilfield have been continuously studied. Although tight carbonate reservoirs have a strong heterogeneity and complex combination relationship, they are difficult to evaluate using conventional logging data. The electrical imaging logging data have a high resolution, which can directly observe the structural characteristics of the formation and the spatial characteristics of pores and holes. The information on the effectiveness of pores in the formation can be obtained through the electrical imaging logging data, so that the tight carbonate reservoir parameters can be evaluated using the information. However, the interpretation of the electrical imaging logging image has multiple solutions, and the interpretation accuracy largely depends on the experience of the interpreter. In this paper, we compare a large number of core experiments, conventional logging, imaging logging, and other data, and propose a method of pore size distribution feature extraction and pore size spectrum calculation based on electrical imaging logging to quantitatively evaluate pore permeability parameters of a tight carbonate reservoir. Our result improves the interpretation accuracy and coincidence rate, which is confirmed by the well testing data. |
