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
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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 computer-implemented method comprising:
- collecting metadata for each of a plurality of collection sources at a location, the metadata for each of the plurality of collection sources including one or more physical characteristics of one or more source formations, the one or more physical characteristics including pressure, temperature, or viscosity;
- based on a determination that one or more microbial communities associated with the plurality of collection sources vary as a function of the one or more physical characteristics, using the one or more microbial communities as one or more physiochemical or microbial sensors of the one or more physical characteristics of the one or more source formations, wherein the function is derived from training data using a machine-learning approach;
- and
- changing a flow rate or a pressure used in a flooding operation at the location, the changing of the flow rate or the pressure being informed or directed by one or more measurements of the one or more physiochemical or microbial sensors.
A system comprising:
- one or more computer processors;
- one or more computer memories;
- a set of instructions incorporated into the one or more computer memories, the set of instructions configuring the one or more processors to perform operations comprising:
- collecting metadata for each of a plurality of collection sources at a location, the metadata for each of the plurality of collection sources including one or more physical characteristics of one or more source formations, the one or more physical characteristics including pressure, temperature, or viscosity;
- based on a determination that one or more microbial communities associated with the plurality of collection sources vary as a function of the one or more physical characteristics, using the one or more microbial communities as one or more physiochemical or microbial sensors of the one or more physical characteristics of the one or more source formations, wherein the function is derived from training data using a machine-learning approach;
- and
- changing a flow rate or a pressure used in a flooding operation at the location, the changing of the flow rate or the pressure being informed or directed by one or more measurements of the one or more physiochemical or microbial sensors.
A non-transitory machine-readable storage medium comprising a set of instructions that, when executed by one or more computer processors, causes the one or more computer processors to perform operations, the operations comprising:
- collecting metadata for each of a plurality of collection sources at a location, the metadata for each of the plurality of collection sources including one or more physical characteristics of one or more source formations, the one or more physical characteristics including pressure, temperature, or viscosity;
- based on a determination that one or more microbial communities associated with the plurality of collection sources vary as a function of the one or more physical characteristics, using the one or more microbial communities as one or more physiochemical or microbial sensors of the one or more physical characteristics of the one or more source formations, wherein the function is derived from training data using a machine-learning approach;
- and
- changing a flow rate or a pressure used in a flooding operation at the location, the changing of the flow rate or the pressure being informed or directed by one or more measurements of the one or more physiochemical or microbial sensors.
Dependencies are inferred from the claim text.