The American Petroleum Industry
Author: Raymond Foss Bacon
Publisher:
Published: 1916
Total Pages: 546
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Raymond Foss Bacon
Publisher:
Published: 1916
Total Pages: 546
ISBN-13:
DOWNLOAD EBOOKAuthor: American Petroleum Institute
Publisher:
Published: 1936
Total Pages: 252
ISBN-13:
DOWNLOAD EBOOKAuthor: Duane Chapman
Publisher:
Published: 1976
Total Pages: 468
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Congress. Senate. Special Committee Investigating Petroleum Resources
Publisher:
Published: 1946
Total Pages: 506
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Congress. Senate. Special Committee Investigating Petroleum Resources
Publisher:
Published: 1946
Total Pages: 504
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Antitrust and Monopoly
Publisher:
Published: 1975
Total Pages: 750
ISBN-13:
DOWNLOAD EBOOKAuthor: Lester C. Uren
Publisher: Univ of California Press
Published: 2023-11-10
Total Pages: 425
ISBN-13: 0520339983
DOWNLOAD EBOOKAuthor: Charles R. Geisst
Publisher: Infobase Publishing
Published: 2014-05-14
Total Pages: 581
ISBN-13: 1438109873
DOWNLOAD EBOOKPresents an alphabetically-arranged reference to the history of business and industry in the United States. Includes selected primary source documents.
Author: United States. Congress. House. Committee on Interstate and Foreign Commerce
Publisher:
Published: 1934
Total Pages: 1520
ISBN-13:
DOWNLOAD EBOOKAuthor: Abdolhossein Hemmati-Sarapardeh
Publisher: Gulf Professional Publishing
Published: 2020-08-26
Total Pages: 324
ISBN-13: 0128223855
DOWNLOAD EBOOKApplications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. - Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering - Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms - Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input