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US 10,767,476 B2Granted
Microbiome based systems, apparatus and methods for the exploration and production of hydrocarbons
AssigneeBiota Technology, Inc.
InventorsRob Knight, Ajay Kshatriya, John Ely, Paul Henshaw, J. Gregory Caporaso, Dan Knights, Ryan Gill
Life of this patent
Estimating the term…
Abstract
There are provided methods, systems and processes for the utilization of microbial and related genetic information for use in the exploration, determination, production and recovery of natural resources, including energy sources, and the monitoring, control and analysis of processes and activities.
Claims17
A system comprising:
- a database storing extraction data corresponding to one or more sample materials obtained at a resource production field, the extraction data including microbiome data corresponding to the one or more sample materials;
- and
- a computer system including one or more memories and one or more processors, one or more computer instructions incorporated into the one or more memories to configure the one or more processors to perform operations for improving a predictive accuracy of predictive microbiome data with respect to a target environmental parameter at the resource production field, the operations comprising:
- accessing the database to obtain the microbiome data;
- selecting a predictive model from a plurality of predictive models based on an expected prediction error of the predictive model being lower than an expected prediction error of other models of the plurality of predictive models, the expected prediction error of the predictive model being based on repeated fittings of the predictive model to different subsets of the microbiome data or other related microbiome data;
- generating the predictive microbiome data from the first subset of the microbiome data, the generating of the predictive microbiome data including applying the predictive model using a machine-learned combination of feature inputs and model parameters;
- and
- causing an interactive display of a visualization of the predictive microbiome data in a graphical user interface to assist an operator in creating a plan for directing an activity at the resource production field.
5 more elements
A method comprising:
- performing, using one or more processors, operations for improving a predictive accuracy of predictive microbiome data with respect to a target environmental parameter at a resource production field, the operations comprising:
- accessing a database to obtain the microbiome data, the database storing extraction data corresponding to one or more sample materials obtained at the resource production field, the extraction data including the microbiome data;
- selecting a predictive model from a plurality of predictive models based on an expected prediction error of the predictive model being lower than an expected prediction error of other models of the plurality of predictive models, the expected prediction error of the predictive model being based on repeated fittings of the predictive model to different subsets of the microbiome data or other related microbiome data;
- generating the predictive microbiome data from the microbiome data, the generating of the predictive microbiome data including applying the predictive model using a machine-learned combination of feature inputs and model parameters;
- and
- causing an interactive display of a visualization of the predictive microbiome data in a graphical user interface to assist an operator in creating a plan for directing an activity at the resource production field.
3 more elements
A non-transitory machine-readable storage medium embodying instructions that, when executed by one or more processors, cause the one or more processors to perform operations for improving a predictive accuracy of predictive microbiome data with respect to a target environmental parameter at a resource production field, the operations comprising:
- accessing a database to obtain the microbiome data, the database storing extraction data corresponding to one or more sample materials obtained at the resource production field, the extraction data including the microbiome data;
- selecting a predictive model from a plurality of predictive models based on an expected prediction error of the predictive model being lower than an expected prediction error of other models of the plurality of predictive models, the expected prediction error of the predictive model being based on repeated fittings of the predictive model to different subsets of the microbiome data or other related microbiome data;
- generating the predictive microbiome data from the microbiome data, the generating of the predictive microbiome data including applying the predictive model using a machine-learned combination of feature inputs and model parameters;
- and
- causing an interactive display of a visualization of the predictive microbiome data in a graphical user interface to assist an operator in creating a plan for directing an activity at the resource production field.
2 more elements
Dependencies are inferred from the claim text.