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Introduction This chapter is organized to help perform acidizing on a well candidate in a logical step-by-step process and then select and execute an appropriate chemical treatment for the oil/gas well. The guidelines are practical in intent and avoid the more complicated acid reaction chemistries, although such investigations and the use of geochemical models are recommended for more complicated formations or reservoir conditions. Effective acidizing is guided by practical limits in volumes and types of acid and procedures so as to achieve an optimum removal of the formation damage around the wellbore. Most of this chapter is an outgrowth of field case studies and of concepts derived from experimental testing and research. Justification for the practices and recommendations proposed herein are contained in the referenced documents. The reader is referred to the author's previous papers on matrix acidizing for references published before 1990. Concepts and techniques presented have ...
The generic term "intelligent well" is used to signify that some degree of direct monitoring and/or remote control equipment is installed within the well completion. Until the late 1980s, remote monitoring was generally limited to surface pressure transducers around the tree and surface choke, with remote completion control restricted to the hydraulic control of safety valves and (electro-) hydraulic control of tree valves. The first computer-assisted operations optimized gas lifted production by remote control near the tree and assisted with pumping well monitoring and control. Permanent downhole pressure and temperature gauges are commonly run as part of the completion system and combined with data transmission infrastructure. With the development, successful implementation, and improving reliability of a variety of permanently installed sensors, it was perceived that the potential to exercise direct control of inflow to the wellbore would provide significant and increased economic benefit.
Drilling automation differs from rig automation. Instead of mechanized or automated machinery that deals with surface processes, drilling automation is centered on the downhole activities necessary in the actual drilling of an oil or gas well. Today, this involves the linking of surface and downhole measurements with near real-time predictive models to improve the safety and efficiency of the drilling process. SPE volunteers formed the Drilling Systems Automation Technical Section (DSATS) in 2008. The purpose of DSATS is to accelerate the development and implementation of drilling systems automation in well construction by supporting initiatives which communicate the technology, recommend best practices, standardize nomenclature and help define the value of drilling systems automation.
Nearly three-quarters (71%) of senior oil and gas professionals have sharpened their focus on digitalization over the past year, according to a 2021 survey by DNV (DNV Outlook). The pandemic has not only increased attention on how digital solutions can make organizations more adaptable and cost efficient, it has also forced companies to discard the normal rules and become more open to change. While data collaboration, cloud-based applications, and remote surveillance top the investment priorities for the year ahead, a growing number of respondents (7%) see additive manufacturing (AM)--the industry equivalent of 3D printing--on their spending list. As an emerging technology, AM uses 3D model data to fabricate parts, enabling, among other benefits, significant cost and time savings in contrast to many traditional manufacturing methods, where the final parts are machined out of a pre-made form. Its purpose is to alleviate and avoid long, expensive production shutdowns and reduce supply chain carbon footprints.
The World Economic Forum's (WEF) Human Capital initiative has been implemented at Satbayev University (SU), Almaty, Kazakhstan, during the last 2 years. Participating in this effort are Chevron, Eni, Shell, and the Colorado School of Mines (Mines). The complete paper assesses the effectiveness of project components, such as industry guest lectures, summer internships, and program improvement, and provides lessons learned for human-resource-development initiatives. In most cases, the industry/university alliance is intermittent, short-term, and underdeveloped. The engagement of three stakeholders, such as government, industry, and the university, is the most-successful model of joint performance.
Petroleum Development Oman operates in harsh environments over which their drivers cover more than 320 million km annually. Driver fatigue is one of the leading causes of motor vehicle incidents (MVIs) associated with operations. The objective of the complete paper is to understand further how technology can support the prevention of driver fatigue and to explore driver beliefs related to fatigue and the technology designed to assist in fatigue avoidance. This study helped the operator's safety specialists understand driver fatigue and develop mechanisms to prevent it. Previous research has found that motor vehicle crash fatalities in the oil and gas industry are up to 8.5 times more common than in other occupations.
Online pipeline-management systems provide real-time and look-ahead functionality for production networks. They are limited, however, by a dearth of data with which to inform their predictions. This represents a barrier to a true, high-fidelity digital twin. Greater integration with new sensor technologies is needed to bound model predictions and improve their reliability.
During the 2021–2022 Distinguished Lecturer season, the following topics and speakers will be presented. A calendar of the lecturer schedule will be available at www.spe.org/dl/schedule. Are Traditional Laboratory Reservoir Fluid Characterizations Superior to Downhole In-Situ Digital Samples? Asphaltene Flow-Assurance Risks in Gas Injection: How are Pitfalls Brought Into the Open? To Increase Production, Listen to Your Well! Halliburton Production and Operations Machine Learning: Is it Magic or Hard Work?
Optimal well spacing is the question. Well interactions are the problem. And cube drilling was supposed to be the answer. "There was this idea that operators could avoid parent/child interactions by codeveloping their wells," said Ted Cross, a technical adviser with Novi Labs, during a recent presentation. "They could develop many, many zones and maximize the recovery from a three-dimensional volume of rock."
Petroleum engineering runs on information in the form of data. However, engineers need to spend too much time searching for data, especially unstructured data found in documents. Examples include almost all of the information in the SPE and company repositories in the form of Microsoft Word, PowerPoint, and Excel documents, pdfs, web pages, tables, images, videos, audio files, newsfeeds, tweets, and email messages. The lack of structure makes unstructured data hard to find and analyze without extensive semantic tagging, which is traditionally performed by humans. This process is in contrast to the relative ease with which structured data in traditional databases can be found and analyzed (Taylor, 2018).