Availability: In Stock

RESERVOIR ENGINEERING MODELS : ANALYTICAL & NUMERICAL APPROACHES

SKU: 9789390385454

Original price was: ₹995.00.Current price is: ₹945.25.

Unlock the secrets of hydrocarbon reservoirs with ‘Reservoir Engineering Models: Analytical & Numerical Approaches.’ This essential guide, published by McGraw Hill, offers a practical approach to constructing and implementing reservoir models in both forward and inverse modes. Delve into complex modeling techniques for continuous physical systems, gaining deep insights into the petroleum engineer’s most valuable asset. Written by leading experts, this book details the assembly of mathematical models, solution protocols, and advanced chapters on solving complex physical processes using physics and mathematical principles. Perfect for students and professionals, it teaches how to optimize well development strategies and enhance oil and gas recovery. Explore the math of reservoir engineering, transport equations, and the crucial relationships between models and engineers. A must-have for any petroleum engineering library.

5 in stock

Description

This comprehensive textbook bridges the gap between theoretical reservoir engineering principles and practical computational methods used in the petroleum industry today. Covering both analytical solutions and numerical simulation techniques, the book equips petroleum engineering students and professionals with the mathematical tools needed to model fluid flow in porous media, predict reservoir performance, and optimize hydrocarbon recovery strategies.

What makes this text particularly valuable is its dual approach—classical analytical methods provide foundational understanding, while modern numerical techniques prepare readers for industry-standard reservoir simulation software. The book includes detailed treatment of material balance equations, well testing analysis, decline curve analysis, and finite difference methods. With worked examples, practice problems, and real-world case studies, it serves as both a rigorous academic text and a practical reference for reservoir engineers working on field development projects across oil and gas sectors.

  • ISBN-10: 9390385458
  • ISBN-13: 978-9390385454
  • Edition: First Edition
  • Publisher: McGraw Hill
  • Publication date: 1 November 2020
  • Language: English
  • Dimensions: 24.9 x 19.2 x 2.3 cm
  • Print length: 368 pages

Frequently Asked Questions

Is Reservoir Engineering Models suitable for BTech petroleum engineering students?

Yes, this textbook is specifically designed for undergraduate and postgraduate petroleum engineering students. It covers both fundamental analytical methods and advanced numerical approaches used in reservoir simulation, making it ideal for coursework and exam preparation in reservoir engineering subjects.

What topics are covered in this reservoir engineering textbook?

The book covers analytical and numerical modeling techniques including material balance equations, well testing, decline curve analysis, fluid flow in porous media, finite difference methods, and reservoir simulation fundamentals. It includes 368 pages of comprehensive theory, examples, and practice problems.

Where can I buy Reservoir Engineering Models book online in India?

You can buy this McGraw Hill textbook online at The Bookish Owl for ₹945.25 with delivery across India. The book is currently in stock and available for immediate dispatch.

Is this book useful for ONGC or oil industry professionals?

Absolutely. This textbook serves as both an academic text and professional reference for reservoir engineers working in oil and gas companies. The numerical modeling techniques covered are directly applicable to field development and reservoir management projects.

Does this book include numerical simulation software training?

While the book teaches the mathematical foundations and numerical methods underlying reservoir simulation software, it focuses on core concepts rather than specific proprietary software. This approach helps you understand any industry-standard simulator you may encounter in your career.