A method for identifying sweet spots in shale formations
A sweet spot and shale technology, applied in the field of identifying sweet spots in gas-bearing shale formations, can solve the problems of undifferentiated geological sweet spots and engineering sweet spots, parameter description and definition of engineering sweet spots, and achieve the effect of improving development efficiency
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Embodiment 1
[0099] Firstly, the technical idea of identifying geological sweet spots is explained.
[0100] figure 1 A technical idea for identifying geological sweet spots in this embodiment is shown. The ideal identification method of geological sweet spot parameters requires accurate evaluation of each geological sweet spot parameter with existing logging methods. The porosity of shale formations is small, and conventional three-porosity logging methods (acoustic, neutron and density logging) are difficult to accurately evaluate the porosity of shale formations due to the influence of multi-mineral and organic matter instability , NMR logging methods are needed to accurately evaluate formation porosity and irreducible water content, wherein formation porosity includes movable gas porosity and movable water porosity. The element logging method can effectively judge the complex mineral types and contents of shale formations, and obtain other geological sweet spot parameters that are ...
Embodiment 2
[0191] In this embodiment, the logging data of a well in a shale formation in a block in southwest China is used as an example to illustrate the identification result of a shale formation sweet spot.
[0192] The lithology of high-quality shale in this block is mainly composed of yellow-gray shale and silty shale interbedded with thin lenticular limestone. Geological sweet spot parameters and engineering sweet spot parameters are shown in Table 1. In Table 1, TOC is total organic carbon content, Φg is gas-bearing pores; Vk is kerogen volume; Sg is gas saturation; BRI is brittleness index; σ is effective stress, and b is pore structure index.
[0193] Table 1 Statistical table of sweet spot coefficients in Jiaoshiba shale formation
[0194]
[0195] according to Figure 9 As shown in the radar map, the geological sweet spot coefficient can be determined to be 0.72, according to Figure 10 As shown in the radar chart, the engineering sweet spot coefficient can be determine...
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