Methods and systems for multiple-domain inversion of collected data
OwnerMichele De Stefano, Simone Re +2inventors
InventorsMichele De Stefano, Simone Re, Federico Miorelli, Federico Golfre' Andreasi
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Abstract
Methods and computing systems for multiple-domain inversion are disclosed to enhance subsurface region evaluation. In one embodiment, three or more datasets corresponding to a subterranean region are received, wherein at least one of the datasets is a magnetic dataset; and the three or more datasets are jointly inverted to generate at least a velocity model that corresponds to at least a first part of the subterranean region, and a susceptibility model that corresponds to at least the first part of the subterranean region, wherein the velocity model and the susceptibility model are correlated.
Claims20
A method, comprising:
- receiving a magnetic dataset that corresponds to a subterranean region;
- receiving a second domain dataset that corresponds to the subterranean region;
- and
- jointly inverting the magnetic dataset and the second domain dataset to generate a second domain output model, wherein:
- the second domain output model corresponds to at least a part of the subterranean region, and
- the joint inversion of the magnetic dataset and the second dataset is based at least in part on a cross-gradients constraint.
A computing system, comprising:
- at least one processor;
- at least one memory;
- and
- one or more programs stored in the at least one memory, wherein the one or more programs are configured to be executed by the one or more processors, the one or more programs including instructions for:
- receiving a magnetic dataset that corresponds to a subterranean region;
- receiving a second dataset that corresponds to the subterranean region;
- and
- jointly inverting the magnetic dataset and the second dataset to generate a second domain model that corresponds to at least a part of the subterranean region, wherein the joint inversion of the magnetic dataset and the second dataset is based at least in part on a cross-gradients constraint.
A method, comprising:
- receiving three or more datasets corresponding to a subterranean region, wherein at least one of the datasets is a magnetic dataset;
- and
- jointly inverting the three or more datasets to generate at least:
- a first domain output model that corresponds to at least a first part of the subterranean region, and
- a susceptibility model that corresponds to at least the first part of the subterranean region,
- wherein the first domain output model is correlated to the susceptibility model.
Dependencies are inferred from the claim text.