𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Data-Driven Reservoir Modeling

✍ Scribed by Shahab D. Mohaghegh


Publisher
SPE
Year
2017
Tongue
English
Leaves
226
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Data-Driven Reservoir Modeling introduces new technology and protocols (intelligent systems) that teach the reader how to apply data analytics to solve real-world, reservoir engineering problems. The book describes how to utilize machine-learning-based algorithmic protocols to reduce large quantities of difficult-to-understand data down to actionable, tractable quantities. Through data manipulation via artificial intelligence, the user learns how to exploit imprecision and uncertainty to achieve tractable, robust, low-cost, effective, actionable solutions to challenges facing upstream technologists in the petroleum industry.

✦ Subjects


Petroleum engineering.


πŸ“œ SIMILAR VOLUMES


Dynamic Mode Decomposition: Data-Driven
✍ J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor πŸ“‚ Library πŸ“… 2016 πŸ› SIAM-Society for Industrial and Applied Mathematic 🌐 English

Data-driven dynamical systems is a burgeoning fieldβ€”it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems

Data-Driven Model-Free Controllers
✍ Radu-Emil Precup, Raul-Cristian Roman, Ali Safaei πŸ“‚ Library πŸ“… 2021 πŸ› CRC Press 🌐 English

<p>This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathema

Quantitative Geosciences: Data Analytics
✍ Y. Z. Ma πŸ“‚ Library πŸ“… 2019 πŸ› Springer International Publishing 🌐 English

<p>Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics usin

Data-Driven Evolutionary Modeling in Mat
✍ Nirupam Chakraborti πŸ“‚ Library πŸ“… 2022 πŸ› CRC Press 🌐 English

<p><span>Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials scie

Computational Epidemiology: Data-Driven
✍ Ellen Kuhl πŸ“‚ Library πŸ“… 2021 πŸ› Springer 🌐 English

<p><span>This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of C