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Understanding Data Analytics and
Predictive Modelling in the Oil and Gas

Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry

Flow assurance is critical for effective design and operation of hydrocarbon production and transmission systems. The aim is to ensure safe and economical flow of hydrocarbon fluids from the source to the markets. As future development of hydrocarbon resources moves into more challenging environments, the importance of flow assurance is becoming more asserted. Written by an internationally recognized team of experts, Flow Assurance in Pipelines: A Reference Guide is a unique, well-researched, and comprehensive work in the flow assurance discipline that addresses the stages of a flow assurance study and identifies how they relate to the pipeline system design and operation. This book is a fundamental resource for flow assurance engineers, pipeline engineers, operators, and production chemists, providing a detailed explanation of basic flow assurance issues that can arise in the pipeline systems and discusses practical methods to solve those issues, safely and cost effectively.

A Reference Guide

Flow Assurance in Pipelines

Tech Today

An insightful collection of the best ways to leverage enterprise data with AI and implement powerful business solutions In Generative Analytics and AI: Transforming Data into Scalable Business Solutions, leading AI strategists Paul Golding and Geoff McGrath walk you through how to implement a comprehensive data strategy and implement real-time data science solutions in your enterprise. The book explains how to transform your company's raw data into actionable insights that drive business success. You'll learn how to transform your organization's (likely sizeable) collection of data into effective solutions that reduce expenses, raise service standards, and improve your customers' experiences. Inside the book: Strategies to implement real-time situation detection, perform fast and precise analyses, and facilitate informed decision-makingTechniques to bridge the gap between data collection and storage and the implementation of on-the-ground solutions that increase revenueWays to implement cognitive operations (CogOps) in your own enterprise, operationalizing cognitive (AI) decision-making in real-time Perfect for data engineers, data scientists, and domain subject matter experts, Generative Analytics and AI is also a must-read for product managers and technical administrators seeking a hands-on guide to turning large amounts of proprietary data into actionable insights and solutions.

Transforming Data Into Scalable Business Solutions

Generative Analytics and AI

Medical Robots and Devices: New Developments and Advances

Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

Introduction to Digital Human Modeling

Advanced Nuclear Fuels and Materials provides an overview of the current status and development trends in nuclear fuels and materials used in nuclear energy generation. The book covers different fuel types, such as oxide fuels, metal and alloy fuels, carbide fuels, nitride fuels, composite fuels, and transmutation targets. Other fuels discussed include those used in advanced reactor systems, including high temperature gas cooled reactor fuels, molten salt reactor fuels, sodium cooled fast reactor fuels, lead cooled fast reactor fuels, gas cooled fast reactor fuels, and supercritical water reactor fuels. Additional sections focus on materials used in nuclear reactors, including structural alloy materials, control rod materials and graphite materials, the numerical simulation of advanced nuclear fuels, and the frontier of nuclear fuels, including new accident tolerant fuels and nano materials used in advanced nuclear energy systems.

Advanced Nuclear Fuels and Materials

20 Lessons from the Fieldwork

Data Science for Teams

Data-Directed Mathematical Modeling

Use this step-by-step guide to prepare, design and implement a simplified data governance programme built to meet the needs of your organization. Prepare, design and implement a data governance framework that works for your organization with this practical guide to harnessing data successfully.

Design a Framework that Works for Your Organization

Effective Data Governance

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other. The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals

An Introduction to String Algorithms

Optimizing Markets for Energy Stability collates the latest cutting-edge econometric technologies for energy markets built to support global energy transition. This book takes an integrated, international approach, dedicating chapters to flexible frameworks for both policy and market design across a range of countries. Utilization of the accelerating technological developments across renewable energy sources, distributed resource penetration, energy storage, and peer-to-peer platforms is broken down clearly. Market strategies for supporting global energy stability are provided and placed in context, from demand response and risk mitigation to techno-economic modelling and optimization. Featuring a range of contributors with a truly global geographical perspective, Optimizing Markets for Energy Stability is an indispensable modern reference for any academic, student, or researcher investigating the energy markets of the future.

Optimizing Markets for Energy Stability

The DnA of Statistics

Energy and the Environment

This comprehensive book on desalination includes both conventional and recently developed approaches. It covers the fundamentals of various desalination processes as well as their applications, technical aspects, energy, and economics. The two major desalination categories, thermal and membrane-based technologies, are discussed extensively, and individual chapters are devoted to specific technologies or groups of technologies such as multi-stage flashing, multi-effect distillation, electrodialysis and electrodialysis reversal, and reverse osmosis. Lesser known technologies such as capacitive deionization and microbial desalination are also included.

This comprehensive book on desalination includes both conventional and recently developed approaches. It covers the fundamentals of various desalination processes as well as their applications, technical aspects, energy, and economics. The two major desalination categories, thermal and membrane-based technologies, are discussed extensively, and individual chapters are devoted to specific technologies or groups of technologies such as multi-stage flashing, multi-effect distillation, electrodialysis and electrodialysis reversal, and reverse osmosis. Lesser known technologies such as capacitive deionization and microbial desalination are also included.

Advanced Desalination and Water Treatment Technologies

Understanding Data Analytics and Predictive Modelling in the Oil and ...

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