Petroleo Brasileiro has filed a patent for a computer-implemented method using Genetic Algorithm to optimize drainage mesh in oil and gas fields. The method involves evolving the mesh through generations until a stopping criterion is met, with each chromosome representing a well for positioning. The optimization tool aims to enhance well productivity and efficiency. GlobalData’s report on Petroleo Brasileiro gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Petroleo Brasileiro, Microscale biofuel reactors was a key innovation area identified from patents. Petroleo Brasileiro's grant share as of January 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.

Optimization tool for drainage mesh in oil fields

Source: United States Patent and Trademark Office (USPTO). Credit: Petroleo Brasileiro SA

A computer-implemented method for optimizing the drainage mesh in oil and/or gas producing fields is disclosed in the filed patent (Publication Number: US20240037413A1). The method involves obtaining a current drainage mesh from an initial drainage mesh, generating a new generation of the drainage mesh using a genetic algorithm, and repeating this process until a stopping criterion is met. Each chromosome in the genetic algorithm represents a well to be positioned in the producing field, allowing for efficient optimization of the drainage mesh.

The method allows for flexibility in the initial drainage mesh, which can be provided by a user or randomly generated by the genetic algorithm. Additionally, the method considers various factors such as multiphase flow curves, fixed wells, and the type of wells (producing or injecting) to be generated. The optimization process involves calculating the net present value (NPV) of the new drainage mesh based on predefined parameters, with the stopping criterion being either reaching a predefined maximum number of generations or a specific NPV value. The method also takes into account various cost factors such as well costs, operational costs, tax rates, and royalties to ensure a comprehensive optimization process. Furthermore, a computer-readable non-transient storage medium is disclosed, containing instructions for performing the optimization method using a genetic algorithm to position wells effectively in the producing field.

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