Automated seismic interpretation-guided inversion

    公开(公告)号:US11693139B2

    公开(公告)日:2023-07-04

    申请号:US16685312

    申请日:2019-11-15

    CPC classification number: G01V1/282 G01V1/301 G01V2210/514 G01V2210/66

    Abstract: A method and apparatus for seismic analysis include obtaining an initial geophysical model and seismic data for a subsurface region; producing a subsurface image of the subsurface region with the seismic data and the geophysical model; generating a map of one or more geologic features of the subsurface region by automatically interpreting the subsurface image; and iteratively updating the geophysical model, subsurface image, and map of geologic features by: building an updated geophysical model based on the geophysical model of a prior iteration constrained by one or more geologic features from the prior iteration; imaging the seismic data with the updated geophysical model to produce an updated subsurface image; and automatically interpreting the updated subsurface image to generate an updated map of geologic features. The method and apparatus may also include post-stack migration, pre-stack time migration, pre-stack depth migration, reverse-time migration, gradient-based tomography, and/or gradient-based inversion methods.

    Methodology for enhancing properties of geophysical data with deep learning networks

    公开(公告)号:US11662493B2

    公开(公告)日:2023-05-30

    申请号:US17247598

    申请日:2020-12-17

    CPC classification number: G01V1/364 G01V1/3808 G06N3/08 G01V2210/21

    Abstract: A method for enhancing properties of geophysical data with deep learning networks. Geophysical data may be acquired by positioning a source of sound waves at a chosen shot location, and measuring back-scattered energy generated by the source using receivers placed at selected locations. For example, seismic data may be collected using towed streamer acquisition in order to derive subsurface properties or to form images of the subsurface. However, towed streamer data may be deficient in one or more properties (e.g., at low frequencies). To compensate for the deficiencies, another survey (such as an Ocean Bottom Nodes (OBN) survey) may be sparsely acquired in order to train a neural network. The trained neural network may then be used to compensate for the towed streamer deficient properties, such as by using the trained neural network to extend the towed streamer data to the low frequencies.

    Systems And Methods For Gas Storage And Transportation

    公开(公告)号:US20230121414A1

    公开(公告)日:2023-04-20

    申请号:US17760339

    申请日:2021-01-19

    Abstract: Methods of contacting a fluid comprising a light hydrocarbon with a metal-organic framework adsorbent having bis(pyrazolyl) ethanediimine ligands and internal pores; adsorbing the fluid in at least a portion of the internal pores of the metal-organic framework thereby creating an adsorbed fluid; storing the adsorbed fluid in the internal pores of the metal-organic framework; and releasing the adsorbed fluid from the internal pores of the metal-organic framework, wherein the metal-organic framework adsorbent undertakes a reversible phase transition upon adsorbing the fluid. Systems of a metal-organic framework having bis(pyrazolyl) ethanediimine ligands and internal pores, wherein the metal-organic framework undertakes a reversible phase transition upon adsorption and desorption of a light hydrocarbon fluid; wherein the fluid is stored in the internal pores of the metal-organic framework.

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