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US 12,590,509 B2Granted
Automated identification of well targets in reservoir simulation models
AssigneeSchlumberger Technology Corporation
InventorPhilipp Stefan Lang
Life of this patent
Estimating the term…
Abstract
A system and method are provided for identifying a wellsite target for drilling, including receiving a plurality of data regarding a wellsite, generating a distribution of reservoir properties using the plurality of data for an area of a reservoir defined within the wellsite, determining at least one opportunity index for an area in the reservoir based on at least one of the corresponding reservoir properties, classifying a section of the reservoir based on at least one computed embedding space, wherein the at least one computed embedding space of the section is based on the at least one opportunity index.
Claims19
A method for identifying a wellsite target for drilling, the method comprising:
- receiving, at a computing system, a plurality of data regarding a wellsite;
- generating, at the computing system, a distribution of reservoir properties using the plurality of data for a plurality of areas of a reservoir defined within a section of the reservoir;
- determining, at the computing system, a plurality of opportunity indexes for the plurality of areas of the reservoir based on a comparison of at least one of the corresponding reservoir properties to one or more conditions associated with one or more nodes of at least one decision tree, the one or more nodes being associated with the plurality of opportunity indexes;
- automatically classifying, at the computing system, the section of the reservoir based on at least one computed embedding space, wherein the at least one computed embedding space is defined based on numbers of the plurality of opportunity indexes, wherein classifying the section of the reservoir is based on a location of the section within the at least one computed embedding space, and wherein the location of the section within the at least one computed embedding space is based on the plurality of opportunity indexes of the plurality of areas within the section of the reservoir;
- identifying, at the computing system, the section of the reservoir as the wellsite target for drilling based on the classification of the section;
- and
- outputting, to a reservoir simulation model, an indication of the identified section of the reservoir as the wellsite target for drilling.
4 more elements
A system, comprising:
- a processor configured to:
- receive a plurality of data regarding a wellsite;
- generate a distribution of reservoir properties using the plurality of data for a plurality of areas of a reservoir defined within a section of the reservoir;
- determine a plurality of opportunity indexes for the plurality of areas in the reservoir based on a comparison of at least one of the corresponding reservoir properties to one or more conditions associated with one or more nodes of at least one decision tree, the one or more nodes being associated with the plurality of opportunity indexes;
- automatically classify the section of the reservoir based on at least one computed embedding space, wherein the at least one computed embedding space is defined based on numbers of the plurality of opportunity indexes, wherein classifying the section of the reservoir is based on a location of the section within the at least one computed embedding space, and wherein the location of the section within the at least one computed embedding space is based on the plurality of opportunity indexes of the plurality of areas within the section of the reservoir;
- identify the section of the reservoir as a wellsite target for drilling based on the classification of the section;
- and
- output, to a reservoir simulation model, an indication of the identified section of the reservoir as the wellsite target for drilling.
5 more elements
A method for developing information regarding a wellsite target for drilling, the method comprising:
- receiving, at a computing system, a plurality of data regarding a wellsite;
- developing, at the computing system, a distribution of reservoir properties for a plurality of areas of a reservoir defined within a section of the reservoir;
- utilizing, at the computing system, a first model to determine a plurality of opportunity indexes for the plurality of areas of the reservoir based on a comparison of at least one of the corresponding reservoir properties to one or more conditions associated with one or more nodes of at least one decision tree, the one or more nodes being associated with the plurality of opportunity indexes;
- employing, at the computing system, a second model to automatically classify the section of the reservoir based on at least one computed embedding space, wherein the at least one computed embedding space is defined based on numbers of the plurality of opportunity indexes, wherein classifying the section of the reservoir is based on a location of the section within the at least one computed embedding space, and wherein the location of the section within the at least one computed embedding space is based on the plurality of opportunity indexes of the plurality of areas within the section of the reservoir;
- identifying, at the computing system, the section of the reservoir as the wellsite target for drilling based on the classification of the section;
- and
- outputting, to a reservoir simulation model, an indication of the identified section of the reservoir as the wellsite target for drilling.
4 more elements
Dependencies are inferred from the claim text.