Method used for fast recognition of oil gas micro leakage and based on hyperspectral remote sensing data

Abstract

The invention relates to a method used for fast recognition of oil gas micro leakage and based on hyperspectral remote sensing data. The method comprises steps of taking soil samples in a known oil gas area and an unknown oil gas area; determining and measuring spectrum curves and content of hydrochloride minerals and clay minerals of the soil samples respectively and accordingly calculating absorption depths and quick index threshold values of the hydrochloride minerals and clay minerals; and then determining quick indexes of a hyperspectral image. Areas whose quick indexes of the hyperspectral images are greater than or equal to the quick index threshold values of the known oil gas area are the areas with oil gas micro leakage. Compared with the prior geophysical method adopting seismic exploration and the like, the method provided by the invention achieves a fine recognition capability of a nanoscale hyperspectral imager to earth surface alteration components by utilizing spectrum resolution and the areas with oil gas micro leakage can be determined quickly. The method is simple and practical. Labor power consumption, time input and capital input can be reduced substantially. The method can be applied to large-area prospection for areas with abnormal oil gas conditions. So far, it is known that hyperspectral remote sensing technology has not been utilized for detecting oil gas micro leakage yet.

Description

technical field [0001] The invention relates to a method for oil and gas exploration, in particular to a method for quickly identifying oil and gas micro-seepage through hyperspectral remote sensing images. Background technique [0002] With the development of hyperspectral remote sensing sensors, the role of remote sensing in oil and gas exploration is becoming more and more obvious. The United States, Germany, Spain and other countries have used hyperspectral instruments to explore the anomalous zones of oil and gas alteration caused by oil and gas micro-seepage. Since the 20th century, domestic and foreign scholars have combined field spectrometers such as ASD and hyperspectral sensing instruments such as Hymap, Hyperion and AVIRIS to explore oil and gas anomalies, and many successful application cases have emerged. [0003] Existing methods for remote sensing exploration of oil and gas anomalies are mostly based on spectral matching methods. Spectral matching methods su...

AI Technical Summary

Problems solved by technology

This type of method is limited to the reference spectrum curves of altered minerals in the spectral library, and the parameter spectrum of altered minerals in the spectral library is different from the actual situation in the laboratory. Without the reference spectrum in the field, it is easy to cause misjudgment and spectral matching It will take a lot of time and the operation speed is slow

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