Data Analytics for Drilling Engineering

Data Analytics for Drilling Engineering

Author: Qilong Xue

Publisher: Springer Nature

Published: 2019-12-30

Total Pages: 324

ISBN-13: 303034035X

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This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists.


Methods for Petroleum Well Optimization

Methods for Petroleum Well Optimization

Author: Rasool Khosravanian

Publisher: Gulf Professional Publishing

Published: 2021-09-22

Total Pages: 554

ISBN-13: 0323902324

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Drilling and production wells are becoming more digitalized as oil and gas companies continue to implement machine learning andbig data solutions to save money on projects while reducing energy and emissions. Up to now there has not been one cohesiveresource that bridges the gap between theory and application, showing how to go from computer modeling to practical use. Methodsfor Petroleum Well Optimization: Automation and Data Solutions gives today's engineers and researchers real-time data solutionsspecific to drilling and production assets. Structured for training, this reference covers key concepts and detailed approaches frommathematical to real-time data solutions through technological advances. Topics include digital well planning and construction,moving teams into Onshore Collaboration Centers, operations with the best machine learning (ML) and metaheuristic algorithms,complex trajectories for wellbore stability, real-time predictive analytics by data mining, optimum decision-making, and case-basedreasoning. Supported by practical case studies, and with references including links to open-source code and fit-for-use MATLAB, R,Julia, Python and other standard programming languages, Methods for Petroleum Well Optimization delivers a critical training guidefor researchers and oil and gas engineers to take scientifically based approaches to solving real field problems. - Bridges the gap between theory and practice (from models to code) with content from the latest research developments supported by practical case study examples and questions at the end of each chapter - Enables understanding of real-time data solutions and automation methods available specific to drilling and production wells, suchas digital well planning and construction through to automatic systems - Promotes the use of open-source code which will help companies, engineers, and researchers develop their prediction and analysissoftware more quickly; this is especially appropriate in the application of multivariate techniques to the real-world problems of petroleum well optimization


Analysis and Control of Oilwell Drilling Vibrations

Analysis and Control of Oilwell Drilling Vibrations

Author: Martha Belem Saldivar Márquez

Publisher: Springer

Published: 2015-03-09

Total Pages: 294

ISBN-13: 3319157477

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This book reports the results of exhaustive research work on modeling and control of vertical oil well drilling systems. It is focused on the analysis of the system-dynamic response and the elimination of the most damaging drill string vibration modes affecting overall perforation performance: stick-slip (torsional vibration) and bit-bounce (axial vibration). The text is organized in three parts. The first part, Modeling, presents lumped- and distributed-parameter models that allow the dynamic behavior of the drill string to be characterized; a comprehensive mathematical model taking into account mechanical and electric components of the overall drilling system is also provided. The distributed nature of the system is accommodated by considering a system of wave equations subject to nonlinear boundary conditions; this model is transformed into a pair of neutral-type time-delay equations which can overcome the complexity involved in the analysis and simulation of the partial differential equation model. The second part, Analysis, is devoted to the study of the response of the system described by the time-delay model; important properties useful for analyzing system stability are investigated and frequency- and time-domain techniques are reviewed. Part III, Control, concerns the design of stabilizing control laws aimed at eliminating undesirable drilling vibrations; diverse control techniques based on infinite--dimensional system representations are designed and evaluated. The control proposals are shown to be effective in suppressing stick-slip and bit-bounce so that a considerable improvement of the overall drilling performance can be achieved. This self-contained book provides operational guidelines to avoid drilling vibrations. Furthermore, since the modeling and control techniques presented here can be generalized to treat diverse engineering problems, it constitutes a useful resource to researchers working on control and its engineering application in oil well drilling.


Advances in Oil and Gas Well Engineering

Advances in Oil and Gas Well Engineering

Author: Yongcun Feng

Publisher: BoD – Books on Demand

Published: 2024-03-13

Total Pages: 178

ISBN-13: 1837683166

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Worldwide oil and gas development has shifted from conventional reservoirs to unconventional and deepwater reservoirs, characterized by high pressure, high temperature, ultra-low permeability, and extensively developed natural fractures. This transition to increasingly hostile environments introduces new challenges in well drilling and completion, such as downhole drilling issues, formation damage, and reduced productivity. Aiming to solve the challenges, drilling and completion technologies have excelled greatly in the past two decades. This book covers managed pressure drilling (MPD), the role of artificial intelligence (AI) in refining drilling processes, and the transformative effects of digitalization and automation. Emphasizing efficiency, safety, and environmental responsibility, the book also integrates methods like casing while drilling for improved efficiency, advanced diagnostics for rig safety, stabilization techniques for wellbores in fractured reservoirs, cement sheath integrity maintenance, and the optimization of continuous gas lift. Bridging theoretical concepts with practical applications, the narrative offers insights into both operational techniques and safety strategies, drawing from past experiences. The current state-of-the-art theories, technologies, and practices are covered, bridging the gaps between fundamental theories and engineering applications.


Data Analytics in Reservoir Engineering

Data Analytics in Reservoir Engineering

Author: Sathish Sankaran

Publisher:

Published: 2020-10-29

Total Pages: 108

ISBN-13: 9781613998205

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Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.


Harness Oil and Gas Big Data with Analytics

Harness Oil and Gas Big Data with Analytics

Author: Keith R. Holdaway

Publisher: John Wiley & Sons

Published: 2014-05-05

Total Pages: 389

ISBN-13: 1118910893

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Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits.


Advanced Well Completion Engineering

Advanced Well Completion Engineering

Author: Renpu Wan

Publisher: Gulf Professional Publishing

Published: 2011-08-23

Total Pages: 737

ISBN-13: 0123858690

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Once a natural gas or oil well is drilled, and it has been verified that commercially viable, it must be "completed" to allow for the flow of petroleum or natural gas out of the formation and up to the surface. This process includes: casing, pressure and temperature evaluation, and the proper instillation of equipment to ensure an efficient flow out of the well. In recent years, these processes have been greatly enhanced by new technologies. Advanced Well Completion Engineering summarizes and explains these advances while providing expert advice for deploying these new breakthrough engineering systems. The book has two themes: one, the idea of preventing damage, and preventing formation from drilling into an oil formation to putting the well introduction stage; and two, the utilization of nodal system analysis method, which optimizes the pressure distribution from reservoir to well head, and plays the sensitivity analysis to design the tubing diameters first and then the production casing size, so as to achieve whole system optimization. With this book, drilling and production engineers should be able to improve operational efficiency by applying the latest state of the art technology in all facets of well completion during development drilling-completion and work over operations. - One of the only books devoted to the key technologies for all major aspects of advanced well completion activities. - Unique coverage of all aspects of well completion activities based on 25 years in the exploration, production and completion industry. - Matchless in-depth technical advice for achieving operational excellence with advance solutions.


Advances in Terrestrial Drilling:

Advances in Terrestrial Drilling:

Author: Yoseph Bar-Cohen

Publisher: CRC Press

Published: 2020-12-21

Total Pages: 310

ISBN-13: 1000328422

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Advances in Terrestrial Drilling: Ground, Ice, and Underwater includes the latest drilling and excavation principles and processes for terrestrial environments. The chapters cover the history of drilling and excavation, drill types, drilling techniques and their advantages and associated issues, rock coring including acquisition, damage control, caching and transport, and data interpretation, as well as unconsolidated soil drilling and borehole stability. This book includes a description of the basic science of the drilling process, associated processes of breaking and penetrating various media, the required hardware, and the process of excavation and analysis of the sampled media. Describes recent advances in terrestrial drilling. Discusses drilling in the broadest range of media including terrestrial surfaces, ice and underwater from shallow penetration to very deep. Provides an in-depth description of key drilling techniques and the unified approach to assessing the required tools for given drilling requirements. Discusses environmental effects on drilling, current challenges of drilling and excavation, and methods that are used to address these. Examines novel drilling and excavation approaches. Dr. Yoseph Bar-Cohen is the Supervisor of the Electroactive Technologies Group (http://ndeaa.jpl.nasa.gov/) and a Senior Research Scientist at the Jet Propulsion Lab/Caltech, Pasadena, CA. His research is focused on electro-mechanics including planetary sample handling mechanisms, novel actuators that are driven by such materials as piezoelectric and EAP (also known as artificial muscles), and biomimetics. Dr. Kris Zacny is a Senior Scientist and Vice President of Exploration Systems at Honeybee Robotics, Altadena, CA. His expertise includes space mining, sample handling, soil and rock mechanics, extraterrestrial drilling, and In Situ Resource Utilization (ISRU).


Soft Computing and Intelligent Data Analysis in Oil Exploration

Soft Computing and Intelligent Data Analysis in Oil Exploration

Author: M. Nikravesh

Publisher: Elsevier

Published: 2003-04-22

Total Pages: 755

ISBN-13: 0080541321

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This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects.It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, petrophysics and reservoir engineering. It is complemented by several tutorial chapters on fuzzy logic, neural networks and genetic algorithms and geostatistics to introduce these concepts to the uninitiated. The application areas include prediction of reservoir properties (porosity, sand thickness, lithology, fluid), seismic processing, seismic and bio stratigraphy, time lapse seismic and core analysis.There is a good balance between introducing soft computing and geostatistics methodologies that are not routinely used in the petroleum industry and various applications areas. The book can be used by many practitioners such as processing geophysicists, seismic interpreters, geologists, reservoir engineers, petrophysicist, geostatistians, asset mangers and technology application professionals. It will also be of interest to academics to assess the importance of, and contribute to, R&D efforts in relevant areas.


DRILLING ENGINEERING

DRILLING ENGINEERING

Author: M. Rafiqul Islam

Publisher: Gulf Professional Publishing

Published: 2020-09-13

Total Pages: 810

ISBN-13: 0128226609

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Sustainable Oil and Gas Development Series: Drilling Engineering delivers research materials and emerging technologies that conform sustainability drilling criteria. Starting with ideal zero-waste solutions in drilling and long-term advantages, the reference discusses the sustainability approach through the use of non-linear solutions and works its way through the most conventional practices and procedures used today. Step-by-step formulations and examples are provided to demonstrate how to look at conventional practices versus sustainable approaches with eventually diverging towards a more sustainable alternative. Emerging technologies are covered and detailed sustainability analysis is included. Economic considerations, analysis, and long-term consequences, focusing on risk management round out the with conclusions and a extensive glossary. Sustainable Oil and Gas Development Series: Drilling Engineering gives today's petroleum and drilling engineers a guide how to analyze and evaluate their operations in a more environmentally-driven way. - Proposes sustainable technical criteria and strategies for today's most common drilling practices such as horizontal drilling, managed pressure drilling, and unconventional shale activity - Discusses economic benefits and development challenges to invest in environmentally-friendly operations - Highlights the most recent research, analysis, and challenges that remain including global optimization