Method and system for determining a location of hydrocarbon reservoir within subterranean region
A system and methods are disclosed. The method includes obtaining a seismic dataset including a plurality of recorded multiple events, generating a predicted multiple model using a multiple prediction method and the seismic dataset, and estimating a set of initial matching filters using a matching method, to match the plurality of estimated and recorded multiple events. The method further includes generating a tensor field based on the predicted multiple model, determining a set of structure-oriented matching filters based on the set of initial matching filters and the tensor field, generating a filtered multiple model based on the predicted multiple model and the set of structure-oriented matching filters, and generating a multiple-attenuated seismic dataset based on the filtered multiple model and the seismic dataset, forming a seismic image based, at least in part, on the multiple-attenuated seismic dataset, and determining a location of a hydrocarbon reservoir based on the seismic image.
1 . A method, comprising:
obtaining a seismic dataset for a subterranean region, wherein the seismic dataset comprises a plurality of recorded multiple events;
generating a predicted multiple model using a multiple prediction method and the seismic dataset, wherein the predicted multiple model comprises a plurality of estimated multiple events;
estimating a set of initial matching filters using a matching method, wherein the set of initial matching filters matches the plurality of estimated multiple events to the plurality of recorded multiple events;
generating a tensor field based, at least in part, on the predicted multiple model;
determining a set of structure-oriented matching filters based, at least in part, on the set of initial matching filters and the tensor field;
generating a filtered multiple model based, at least in part, on the predicted multiple model and the set of structure-oriented matching filters;
generating a multiple-attenuated seismic dataset based, at least in part, on the filtered multiple model and the seismic dataset;
forming a seismic image based, at least in part, on the multiple-attenuated seismic dataset; and
determining a location of a hydrocarbon reservoir within the subterranean region based, at least in part, on the seismic image.
2 . The method of claim 1 , further comprising planning a well to penetrate the hydrocarbon reservoir based on the location, wherein the planned well comprises a planned wellbore path.
3 . The method of claim 2 , further comprising drilling a wellbore guided by the planned wellbore path.
4 . The method of claim 1 , wherein the predicted multiple model comprises interbed multiple energy.
5 . The method of claim 1 , wherein the matching method comprises a least-square matching method.
6 . The method of claim 1 , wherein the multiple prediction method comprises a Marchenko-based multiple prediction method.
7 . The method of claim 1 , wherein determining the set of structure-oriented matching filters comprises solving an anisotropic diffusion equation.
8 . A non-transitory computer-readable medium having computer-executable instructions stored thereon that, when executed by a processor, perform steps comprising:
receiving a seismic dataset for a subterranean region, wherein the seismic dataset comprises a plurality of recorded multiple events;
generating a predicted multiple model using a multiple prediction method and the seismic dataset, wherein the predicted multiple model comprises a plurality of estimated multiple events;
estimating a set of initial matching filters using a matching method, wherein the set of initial matching filters matches the plurality of estimated multiple events to the plurality of recorded multiple events;
generating a tensor field based, at least in part, on the predicted multiple model;
determining a set of structure-oriented matching filters based, at least in part, on the set of initial matching filters and the tensor field;
generating a filtered multiple model based, at least in part, on the predicted multiple model and the set of structure-oriented matching filters;
generating a multiple-attenuated seismic dataset based, at least in part, on the filtered multiple model and the seismic dataset;
forming a seismic image based, at least in part, on the multiple-attenuated seismic dataset; and
determining a location of a hydrocarbon reservoir within the subterranean region based, at least in part, on the seismic image.
9 . The non-transitory computer-readable medium of claim 8 , further comprising planning a well to penetrate the hydrocarbon reservoir based on the location, wherein the planned well comprises a planned wellbore path.
10 . The non-transitory computer-readable medium of claim 8 , wherein the predicted multiple model comprises interbed multiple energy.
11 . The non-transitory computer-readable medium of claim 8 , wherein the matching method comprises a least-square matching method.
12 . The non-transitory computer-readable medium of claim 8 , wherein the multiple prediction method comprises a Marchenko-based multiple prediction method.
13 . The non-transitory computer-readable medium of claim 8 , wherein determining the set of structure-oriented matching filters comprises solving an anisotropic diffusion equation.
14 . A system, comprising:
a seismic acquisition system configured to:
record a seismic dataset for a subterranean region, wherein the seismic dataset comprises a plurality of recorded multiple events;
a seismic processing system configured to:
receive the seismic dataset,
generate a predicted multiple model using a multiple prediction method and the seismic dataset, wherein the predicted multiple model comprises a plurality of estimated multiple events,
estimate a set of initial matching filters using a matching method, wherein the set of initial matching filters matches the plurality of estimated multiple events to the plurality of recorded multiple events,
generate a tensor field based, at least in part, on the predicted multiple model,
determine a set of structure-oriented matching filters based, at least in part, on the set of initial matching filters and the tensor field,
generate a filtered multiple model based, at least in part, on the predicted multiple model and the set of structure-oriented matching filters,
generate a multiple-attenuated seismic dataset based, at least in part, on the filtered multiple model and the seismic dataset, and
form a seismic image based, at least in part, on the multiple-attenuated seismic dataset; and
a seismic interpretation workstation configured to:
determine a location of a hydrocarbon reservoir within the subterranean region based, at least in part, on the seismic image.
15 . The system of claim 14 , further comprising a well planning system configured to plan a well to penetrate the hydrocarbon reservoir based on the location, wherein the planned well comprises a planned wellbore path.
16 . The system of claim 15 , further comprising a drilling system configured to drill a wellbore guided by the planned wellbore path.
17 . The system of claim 14 , wherein the predicted multiple model comprises interbed multiple energy.
18 . The system of claim 14 , wherein the matching method comprises a least-square matching method.
19 . The system of claim 14 , wherein the multiple prediction method comprises a Marchenko-based multiple prediction method.
20 . The system of claim 14 , wherein determining the set of structure-oriented matching filters comprises solving an anisotropic diffusion equation.