Dense reservoir pore movable fluid invasion profile imaging method

Abstract

The invention provides a dense reservoir pore movable fluid invasion profile imaging method based on array induction well-logging resistivity data. The dense reservoir pore movable fluid invasion profile imaging method comprises the following steps that (1), data are corrected; (2), interpolation is re-sampled; and (3), color carving is conducted, specifically, color carving is conducted on S'(x',y'), resistivity values are subjected to color carving from dark to bright according to the sequence from small to large, a movable fluid invasion profile imaging graph is formed. According to the dense reservoir pore movable fluid invasion profile imaging method, the defects that as for imaging well-logging and rock core experiment methods and nuclear magnetic resonance T2 spectra, the investigation depth is low, the acquisition rate is low, and representativeness is poor are solved, and pore connectivity and movable fluid distribution characteristics within the range of the radial 120 in depth of a dense reservoir can be displayed visually.

Description

technical field [0001] Based on the resistivity data of array induction well logging, the invention proposes an imaging method for movable fluid invasion profile in tight reservoir pores. Background technique [0002] With the intensification of global energy demand, tight oil exploration has attracted more and more attention from the industry. Tight reservoirs are dominated by fine-very fine sandstone, with tight physical properties, narrow pore throats, high matrix content, and strong diagenesis, resulting in strong spatial heterogeneity. The evaluation of pore connectivity and movable fluid distribution characteristics of tight reservoirs is the key to the quality evaluation of tight reservoirs, which affects the exploration and development of tight oil. At present, only laboratory core sample testing and nuclear magnetic resonance logging can evaluate the movable fluid in pores of tight reservoirs. However, due to the low acquisition rate, long interpretation period, an...

AI Technical Summary

Problems solved by technology

Due to the strong spatial heterogeneity of tight reservoirs, even the same reservoir has obvious differences in pore connectivity due to lithological changes, core samples are not universally representative, and their applications are restricted; NMR logging T2 However, due to the high cost of logging, extremely low acquisition rate, poor representation, and the need for specialized software for processing, the interpretation cycle is long and the application is limited

[0007] Existing Schlumberger FMI, Atlas STAR, Halliburton EMI and domestic EILOG, ERMI and other electrical imaging logging equipment collect data through intensive resistivity around the wellbore to evaluate the interface pores and structural characteristics around the wellbore. The greater the density of collected data, the smaller the detection depth (the detection depth of existing imaging equipment is less than 5cm), and it is difficult to reflect the connectivity of deep pores and the distribution characteristics of movable fluids.

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