Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 794

Conference Videos 229

Conference Information 133

Conference Topics 5

Year

2024 11

2023 51

2022 164

2021 167

2020 94

2019 85

2018 39

2017 48

2016 30

2015 18

2014 15

2013 44

2012 27

2011 46

2010 26

2009 23

2008 29

2007 19

2006 21

2005 26

open ︾

Keywords

Three Gorges Project 32

engineering 23

engineering management 16

EngineeringAchievements 14

innovation 11

engineering science and technology 10

ship lift 8

2035 7

system engineering 7

Machine learning 6

TGP 6

construction 6

technology foresight 6

development strategy 4

engineer 4

management 4

sustainable development 4

Bohai Strait 3

China 3

open ︾

Search scope:

排序： Display mode:

Enhancing the management of oil production engineering with philosophical thinking

Liu He

Strategic Study of CAE 2013, Volume 15, Issue 11, Pages 31-35

Abstract:

In the history of Chinese petroleum industry,the philosophical thinking is always used to guide practice. The Daqing Oilfield was developed based on the philosophical thoughts of Mao Zedong, i.e., On Practice and On Contradictions. Relying on the philosophical thoughts,the management and technology innovationsystem was continuously improved,and the technology management system with Daqing Oilfield characteristics was developed. This paper applies the thoughts of the "Two Theory" in oil production engineering,and analyzes the major challenges and countermeasures for the stable production of 4.0×107 to Daqing Oilfield. The scientific methodology of practice is used to guide the technical schemes and solutions. The "Two Theory" is proved to be effective to guarantee the stable production of 4.0×107 t.

Keywords： philosophy contradiction practice oil production engineering

HTML PDF Collect

Review on new technology and field practice on offshore oil fields

Xu Wenjiang,Qiu Zongjie,Zhang Fengjiu

Strategic Study of CAE 2011, Volume 13, Issue 5, Pages 53-57

Abstract:

The article introduced some new production technologies to meet challenges on offshore oil development during carryout of"11th five-year" plan.

Keywords： oil production technology field practice technology review

HTML PDF Collect

Zhang Xueji: AI-Biosensing and Measurement - Opportunity and Challenge (August 25, 2019)

张学记(院士)

20 Jan 2021

Keywords：采油工程

Sun Jinsheng: Oil and Gas Exploitation in China (2018-6-2)

15 Apr 2021

Keywords：采油工程

Sun Yu: Robotic Intracellular Management and Measurement (2019-8-25)

孙钰(院士)

20 Jan 2021

Keywords：采油工程

Liu He: Application of Micro-nano Technology in Petroleum Engineering (2019-8-26)

刘合(院士)

20 Jan 2021

Keywords：采油工程

Toshio Fukuda: Bio Cell Analysis and Assembly by Micro and Nano Robotic Technology（2019-8-25）

福田敏男(院士)

20 Jan 2021

Keywords：采油工程

Chen Jianping: The Application of Machine Learning and Big Data in Building Operation (2019-8-25)

陈建平(高级职称)

20 Jan 2021

Keywords：采油工程

Li Huajun: Offshore Oil and Gas Exploitation Technology (2018-6-1)

李华军(高级职称)

12 Dec 2021

Keywords：采油工程

Joseph Wang: Hybrid Nanovehicles: Dual-Power Nanomachines (2019-8-25)

Joseph Wang(高级职称)

20 Jan 2021

Keywords：采油工程

Lin Feng: Gas Turbine Health Management Technology and its Application in Offshore Oil Platform (2019-8-25)

林枫(高级职称)

20 Jan 2021

Keywords：采油工程

Liu Song: Independent Technology System Empowers Industry Intelligent Innovation（2019-8-25）

刘松(高级职称)

20 Jan 2021

Keywords：采油工程

Wang Jianhua: Water-Energy Nexus And Strategic Management Decision-Support (2019-8-25)

王建华(高级职称)

20 Jan 2021

Keywords：采油工程

Considering the development of China´s refining industy at the beginning of new century

Lv Jiahuan,Wang Xinhong

Strategic Study of CAE 2000, Volume 2, Issue 4, Pages 8-11

Abstract:

China´s refining industry now has had fair strength after 50 years´ development. By the end of 1999, the annual capacity of crude oil processing had reached 250 million tons, which was ranked 4th in the world. At the turn of the century, China´s refining industry should solve a set of problems first, such as utilizing domestic and foreign crude oil resources as a whole, especially some problems in processing, storage, transportation and resource security of foreign crude oil. At the same time, in order to take up the challenges born of China´s entering WTO, it is necessary to enhance the overall competitive power against imported oil products in the respects of reducing the purchase cost of crude oil, raising facility utilization, cutting down the consumption of energy and material, prolonging production cycle, lowering production cost, improving the quality of products and meeting the requirements of environment protection.

Keywords： new century refining industry development

HTML PDF Collect

Intelligent Petroleum Engineering Perspective

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Engineering 2022, Volume 18, Issue 11, Pages 27-32 doi: 10.1016/j.eng.2022.06.009

Abstract:

Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.

Keywords： Artificial intelligence Machine learning Intelligent reservoir engineering Text mining Intelligent geoscience Intelligent drilling engineering