Construction and Application of a Big Data System for Regional Lakes in Coalbed Methane Development.
ACS Omega
; 8(20): 18323-18331, 2023 May 23.
Article
em En
| MEDLINE
| ID: mdl-37251117
ABSTRACT
With the rapid development and widespread application of big data and artificial intelligence, the upgrading of digital and intelligent industries has been rapidly popularized in the oil and gas industry. First, based on the theory of â³regional data lakeâ³, the digital nature of the CBM governance system is analyzed, and the optimization model of CBM governance for different data types is established. Second, considering the geological characteristics and development mode of the CBM reservoir, the regional data lake expansion model is established. Third, a theoretical model of coupling â³on-site data, laboratory data, management data, and data management systemâ³ has been established. The research shows the following (a) The CBM governance system based on the regional data lake can be divided into four parts basic support, data life cycle, core governance areas, and governance strategy support. (b) The coupling of the coalbed methane governance model with the BP neural network model in this article has good application results. (c) The computational efficiency of this model has been improved by 12%, which has broad application prospects.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
ACS Omega
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
China