Deep and large fracture system space depicting method

Abstract

The invention discloses a deep and large fracture system space depicting method. Through application of multiple advanced geophysical means such as seismic forward model research, seismic data fracture enhancement processing, multi-scale fracture identification, structure tensor attributes, amplitude curvature attributes and compressed sensing inversion, a fault solution identification mode is effectively determined, and spatial distribution of strike-slip fractures is clearly depicted. Development characteristics of different types of fault solution reservoirs are finely described, and a sufficient basis is provided for spatial depiction and favorable target prediction of the fault solution reservoirs under deep and large fracture control.

Description

technical field [0001] The invention relates to the field of petroleum exploration, in particular to a method for describing the space of deep and large fault systems. Background technique [0002] In recent years, "fault-karst body" oil and gas reservoirs related to deep strike-slip faults in the Tarim Basin have been continuously discovered, and many high-yield oil and gas wells have emerged, showing the huge potential of this unconventional oil and gas reservoir. Fault-karst reservoirs in the Tarim Basin are long-term active (from the Cambrian to Silurian) large-scale strike-slip faults and fractured zones, which were reformed by deep acid solution to form fracture-cavity reservoirs, and a series of along-line reservoirs formed by oil and gas charging in the later stage. Special oil and gas reservoirs distributed in strike-slip fault zones. Ordovician strata in oil and gas reservoirs generally have a burial depth of more than 7000 m, and are characterized by deep burial,...

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Problems solved by technology

Due to the large burial depth of fault-karst reservoirs and weakened seismic reflection characteristics, it is difficult to fully mine seismic data information by conventional technical means, which affects the spatial depiction of fault zones. It is difficult to determine different reservoir identification modes of fractures, holes, and caves; ②The fault identification accuracy is low and multi-solution is strong, it is impossible to distinguish faults of different scales, and it is difficult to determine the origin of faults; ③The geophysical identification accuracy of fault-karst reservoirs is low, and it is impossible to Effectively distinguish different types of fault-karst reservoirs, but it is difficult to determine the spatial distribution characteristics and connectivity of fault-karst bodies, and it is difficult to describe quantitatively

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