The present application relates to the technical field of
coal resource exploration, and particularly relates to a deep
coal resource intelligent exploration method based on
tectonic stress field, comprising: arranging a detection
drill hole in an exploration target area, synchronously collecting five types of parameters of
tectonic stress,
ground temperature,
ground pressure,
fluid migration rate and
coal porosity by using a deep integrated detection device, and gathering and constructing a multi-field basic data sample
library of each parameter; calculating a
tectonic stress intensity index based on the multi-field basic data sample
library, dividing the exploration target area into a
stress concentration area, a transition area and a stable area according to the index, and determining a regulation coefficient of tectonic stress on
porosity and
fluid migration. In the present application, a multi-field
coupling correction model dominated by tectonic stress is constructed, and then the real formation
physical property parameters are restored, so that the traditional exploration which mostly uses single
physical field detection is improved. Since the nonlinear regulation of tectonic stress on multi-
physical field is ignored, the problem that the tectonic coal and gas enrichment area cannot be accurately identified in the deep
stress concentration area is caused.