Work

Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Applications

DOI: 10.1109/icmla61862.2024.00236

Authors: Mateus A. Fernandes, Eduardo Gildin, Marcio A. Sampaio

Institutions: Petrobras (Brazil), Texas A&M University, Universidade de São Paulo

Language: English

Topic: Oil and Gas Production Techniques

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Texas A and M University, Universidade de São Paulo

OpenAlex ID: W4408146335

FWCI: 1.926

Cites: 17

Cited by: 2

Related to: 10