Nanotechnology for the oil and gas industry – an overview of recent progress

2018 ◽  
Vol 7 (4) ◽  
pp. 341-353 ◽  
Author(s):  
Zhang Zhe ◽  
An Yuxiu
Keyword(s):  
Oil Recovery ◽  
Oil And Gas ◽  
Imaging Techniques ◽  
Scientific Progress ◽  
Oil And Gas Industry ◽  
Superior Performance ◽  
Comprehensive Overview ◽  
Gas Field ◽  
Gas Industry ◽  
Technical Requirements

Abstract Nanotechnology has brought about revolutionary innovations in many aspects of the oil and gas industry. Nanotechnology generates nanomaterials, which are natural or synthetic materials with at least one dimension at the nanoscale (1–100 nm). Among them, nanoparticles (NPs), in particular, have large surface areas and high volume concentrations. Given these dimensional effects, nanomaterials acquire unique mechanical, chemical, thermal, and magnetic properties and, therefore, have a superior performance than conventional micro and macro materials in a range of oil and gas field applications. Nanomaterials can also be custom functionalized by chemical modifications to meet specific technical requirements. In this review, the developments in the recent years concerning the research on nanotechnology in drilling, completion, reservoir protection, enhance-oil-recovery (EOR), sensing and imaging techniques, stimulation techniques in oil and gas migration and accumulation have been summarized. The aim of this paper was to provide a comprehensive overview of the scientific progress of nanotechnology in the oil and gas research areas, identifying the existing barriers and challenges, and evaluating the technical and economic prospects in this field.

Guest Editorial: Artificial Intelligence in the E&P Industry: What Have We Learned So Far and Where to Next?

2021 ◽  
Vol 73 (01) ◽  
pp. 12-13
Author(s):  
Manas Pathak ◽  
Tonya Cosby ◽  
Robert K. Perrons
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Oil Recovery ◽  
Oil And Gas ◽  
Autonomous Systems ◽  
Oil And Gas Industry ◽  
Human Judgment ◽  
Gas Industry ◽  
The Media ◽  
And Function

Artificial intelligence (AI) has captivated the imagination of science-fiction movie audiences for many years and has been used in the upstream oil and gas industry for more than a decade (Mohaghegh 2005, 2011). But few industries evolve more quickly than those from Silicon Valley, and it accordingly follows that the technology has grown and changed considerably since this discussion began. The oil and gas industry, therefore, is at a point where it would be prudent to take stock of what has been achieved with AI in the sector, to provide a sober assessment of what has delivered value and what has not among the myriad implementations made so far, and to figure out how best to leverage this technology in the future in light of these learnings. When one looks at the long arc of AI in the oil and gas industry, a few important truths emerge. First among these is the fact that not all AI is the same. There is a spectrum of technological sophistication. Hollywood and the media have always been fascinated by the idea of artificial superintelligence and general intelligence systems capable of mimicking the actions and behaviors of real people. Those kinds of systems would have the ability to learn, perceive, understand, and function in human-like ways (Joshi 2019). As alluring as these types of AI are, however, they bear little resemblance to what actually has been delivered to the upstream industry. Instead, we mostly have seen much less ambitious “narrow AI” applications that very capably handle a specific task, such as quickly digesting thousands of pages of historical reports (Kimbleton and Matson 2018), detecting potential failures in progressive cavity pumps (Jacobs 2018), predicting oil and gas exports (Windarto et al. 2017), offering improvements for reservoir models (Mohaghegh 2011), or estimating oil-recovery factors (Mahmoud et al. 2019). But let’s face it: As impressive and commendable as these applications have been, they fall far short of the ambitious vision of highly autonomous systems that are capable of thinking about things outside of the narrow range of tasks explicitly handed to them. What is more, many of these narrow AI applications have tended to be modified versions of fairly generic solutions that were originally designed for other industries and that were then usefully extended to the oil and gas industry with a modest amount of tailoring. In other words, relatively little AI has been occurring in a way that had the oil and gas sector in mind from the outset. The second important truth is that human judgment still matters. What some technology vendors have referred to as “augmented intelligence” (Kimbleton and Matson 2018), whereby AI supplements human judgment rather than sup-plants it, is not merely an alternative way of approaching AI; rather, it is coming into focus that this is probably the most sensible way forward for this technology.

Financing Requirements for the Oil and Gas Industry - North America

1988 ◽  
Vol 6 (4-5) ◽  
pp. 317-322
Author(s):  
A.F. Grove
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Field ◽  
Gas Industry ◽  
Field Development ◽  
Energy Company ◽  
Corporate Credit ◽  
Oil And Gas Field ◽  
Good Energy ◽  
Business Acumen

The characteristics of good energy company borrowers are strong management, integrity, diversification, flexibility, a sound financial basis and business acumen. Acceptable reasons for borrowing include requirements for working capital, plant expansion, modernisation, oil and gas field development and the manufacturing of oil tools and related products. Security for loans is based on the company's reserves, the duration of the debt and priority over other indebtedness. Most loans are evaluated on the grounds of general corporate credit, that is, the overall credit standing of the borrower.

scholarly journals Evaluation of Oil and Gas Economy using Economics Profit Indicators and Prototype Macro VBA Excel

2021 ◽  
Vol 1 (1) ◽  
pp. 549-558
Author(s):  
Juwairiah Juwairiah ◽  
Didik Indarwanta ◽  
Frans Richard Kodong
Keyword(s):  
Economic Analysis ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Development Project ◽  
Economic Indicators ◽  
Gas Field ◽  
Gas Industry ◽  
Field Development ◽  
Oil And Gas Field ◽  
Oil And Gas Sector

The oil and gas sector is an important factor in sustainable development, so it is considered necessary to make serious changes in conducting economic analysis on the oil and gas business. Oil and gas industry activities consist of upstream activities, and downstream activities. Activities in these upstream and downstream operations have high risk, high costs and high technology, so the company continuously tries to reduce the importance of the adverse impact of these risks on the work environment and people. Thus, evaluating the factors that affect sustainable production in this sector becomes a necessity. In this research will be evaluated the economy of the oil and gas field using methods of economic indicators, among others; NPV, POT, ROR, where these factors are estimated in order to be able to estimate the prospects of the oil and gas field so that the decision that the field development project can be implemented or cannot be taken immediately. Implementation of oil and gas field economic evaluation in this study using Macro VBA Excel. From several methods of economic analysis obtained that the results of this study show high precision compared to other methods, in addition to the way of evaluation using the above economic indicators is very popular.

The Role of Pre-College STEM Education in Student Enrollment in Petroleum Engineering

2021 ◽  
Author(s):  
Nayef Alyafei ◽  
Afsha Shaikh ◽  
Mohamed Gharib ◽  
Albertus Retnanto
Keyword(s):  
High School ◽  
Developing Countries ◽  
High School Students ◽  
Stem Education ◽  
Oil Recovery ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Petroleum Engineering ◽  
School Students ◽  
Gas Industry

Abstract Final-year high school students are faced with a difficult decision when selecting their undergraduate major of choice. Often, the decision is made even more difficult by uncertainty about what different majors entail. Petroleum engineering in particular is a discipline that is generally not explored within high school classrooms and therefore students lack understanding about the roles of engineers in the oil and gas industry. To combat this uncertainty, this paper explores the potential of running pre-college project-based learning programs to increase high school students’ interest in and familiarity with pursuing various undergraduate STEM disciplines and careers. More specifically, this paper provides an insight into two case studies of novel STEM education programs, developed to enhance a group of high school students’ understanding of petroleum engineering. The programs were designed to increase students’ interest in learning about the selected petroleum engineering concepts, namely polymer flooding to enhance oil recovery and multiphase fluid flow in porous media, while simultaneously providing an understanding of the current global challenges faced by the oil and gas industry. The program also aimed to engage students in learning and applying fundamental engineering skills to relatable real-world issues. These project goals will help facilitate the desire, commonly seen in recent years, of developing countries to increase their oil and gas production. This program was applied during the Summer Engineering Academy program offered by Texas A&M University at Qatar, which provides an innovative educational space for high school students. The program was conducted with the main objective of allowing the students to understand the basic concepts of petroleum engineering via short lectures as well as laboratory experimentation. Students in Grades 9-11 spent 10 days learning about petroleum engineering applications that integrated science, engineering, and technology where they designed, built, and tested an experimental setup for understanding various processes in petroleum engineering. Students were expected to solve a common problem faced in the petroleum industry. At the end of the program, the students gained an understanding of the issues and recommended unique solutions to these problems in the form of oil-recovery based projects presented to a panel of experts. This program attempted to build bridges between the STEM education pipeline of rapidly developing countries, such as Qatar, and the new demand for talent in the oil and gas sector. The details of this novel program are presented, including the content, preparation, materials used, case studies, and the resulting learning outcomes.

Carbon capture and storage in the oil and gas industry: 40 years on

2017 ◽  
Vol 57 (2) ◽  
pp. 413
Author(s):  
Christopher Consoli ◽  
Alex Zapantis ◽  
Peter Grubnic ◽  
Lawrence Irlam
Keyword(s):  
Oil Recovery ◽  
Energy Demand ◽  
Carbon Capture ◽  
Large Scale ◽  
Oil And Gas ◽  
Carbon Capture And Storage ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Wide Range ◽  
And Storage

In 1972, carbon dioxide (CO2) began to be captured from natural gas processing plants in West Texas and transported via pipeline for enhanced oil recovery (EOR) to oil fields also in Texas. This marked the beginning of carbon capture and storage (CCS) using anthropogenic CO2. Today, there are 22 such large-scale CCS facilities in operation or under construction around the world. These 22 facilities span a wide range of capture technologies and source feedstock as well as a variety of geologic formations and terrains. Seventeen of the facilities capture CO2 primarily for EOR. However, there are also several significant-scale CCS projects using dedicated geological storage options. This paper presents a collation and summary of these projects. Moving forward, if international climate targets and aspirations are to be achieved, CCS will increasingly need to be applied to all high emission industries. In addition to climate change objectives, the fundamentals of energy demand and fossil fuel supply strongly suggests that CCS deployment will need to be rapid and global. The oil and gas sector would be expected to be part of this deployment. Indeed, the oil and gas industry has led the deployment of CCS and this paper explores the future of CCS in this industry.

scholarly journals A Review on the Progress of Ion-Engineered Water Flooding

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Alibi Kilybay ◽  
Bisweswar Ghosh ◽  
Nithin Chacko Thomas
Keyword(s):  
Oil Recovery ◽  
Oil And Gas ◽  
Water Injection ◽  
Oil And Gas Industry ◽  
Carbonate Reservoir ◽  
Water Flooding ◽  
Wettability Alteration ◽  
Gas Industry ◽  
Low Salinity ◽  
Smart Water

In the oil and gas industry, Enhanced Oil Recovery (EOR) plays a major role to meet the global requirement for energy. Many types of EOR are being applied depending on the formations, fluid types, and the condition of the field. One of the latest and promising EOR techniques is application of ion-engineered water, also known as low salinity or smart water flooding. This EOR technique has been studied by researchers for different types of rocks. The mechanisms behind ion-engineered water flooding have not been confirmed yet, but there are many proposed mechanisms. Most of the authors believe that the main mechanism behind smart water flooding is the wettability alteration. However, other proposed mechanisms are interfacial tension (IFT) reduction between oil and injected brine, rock dissolution, and electrical double layer expansion. Theoretically, all the mechanisms have an effect on the oil recovery. There are some evidences of success of smart water injection on the field scale. Chemical reactions that happen with injection of smart water are different in sandstone and carbonate reservoirs. It is important to understand how these mechanisms work. In this review paper, the possible mechanisms behind smart water injection into the carbonate reservoir with brief history are discussed.

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