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2017 | Buch

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Shale Analytics

Data-Driven Analytics in Unconventional Resources

verfasst von: Shahab D. Mohaghegh

Verlag: Springer International Publishing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction

Abstract

When W. E. Deming uttered these words in 1980s, “world new nothing about the impact that shale will have in changing the energy landscape of the twenty-first century.”

Shahab D. Mohaghegh

Chapter 2. Modeling Production from Shale

Abstract

Mitchell and his team of geologists and engineers began working on the shale challenge in 1981, trying different combinations of processes and technologies before ultimately succeeding in 1997.

Shahab D. Mohaghegh

Chapter 3. Shale Analytics

Abstract

The realization that much value can be extracted from the data that is routinely collected (and much of it is left unused).

Shahab D. Mohaghegh

Chapter 4. Practical Considerations

Abstract

With data analytics becoming popular in the upstream oil and gas industry and finding its way into addressing some of the most important issues in the reservoir and production management of the unconventional resources such as shale, many big data analytics and data-driven modeling enthusiasts have decided to venture into the upstream oil and gas industry and test their talent in solving oil and gas-related problems.

Shahab D. Mohaghegh

Chapter 5. Which Parameters Control Production from Shale

Abstract

Is it the quality of the formation or the quality of the completion that determines or controls the productivity of a shale well?

Shahab D. Mohaghegh

Chapter 6. Synthetic Geomechanical Logs

Abstract

In recent years, predicting reservoir’s behavior as a function of changes in field stresses has become a focus in the E&P industry, with an increased interest to unlock production from unconventional resources.

Shahab D. Mohaghegh

Chapter 7. Extending the Utility of Decline Curve Analysis

Abstract

Decline Curve Analysis (DCA) is one of the most utilized and probably the most simple (the least sophisticated) technique in petroleum engineering. DCA is a curve fitting technique that is used to forecast well’s production and to Estimate its Ultimate Recovery (EUR).

Shahab D. Mohaghegh

Chapter 8. Shale Production Optimization Technology (SPOT)

Abstract

The goal of this chapter in the book is to demonstrate the utility of Shale Analytics in providing insight into hydraulic fracturing practices in the shale.

Shahab D. Mohaghegh

Chapter 9. Shale Numerical Simulation and Smart Proxy

Abstract

The authors’ believe in the lack of effectiveness of numerical simulation in modeling production from shale does not stem from a purely theoretical point of view. We have been intimately involved in such activities for years and have learned that when it comes to using numerical reservoir simulation to model production from shale wells, regardless of how detail and meticulous the approach, the results leave much to be desired and have little to do with the realities on the ground.

Shahab D. Mohaghegh

Chapter 10. Shale Full Field Reservoir Modeling

Abstract

A quick look at the history of reservoir simulation and modeling indicates that developing full field models (where all the wells in the asset are modeled together as one comprehensive entity) is the common practice for almost all prolific assets.

Shahab D. Mohaghegh

Chapter 11. Restimulation (Re-frac) of Shale Wells

Abstract

Reference publications about refracturing treatments (re-stimulation) before 1990s are sparse. The first published work on re-frac dates back to 1960 [96], followed by another publication in 1973 [97].

Shahab D. Mohaghegh

Backmatter

Titel: Shale Analytics
verfasst von: Shahab D. Mohaghegh
Verlag: Springer International Publishing
Electronic ISBN: 978-3-319-48753-3
Print ISBN: 978-3-319-48751-9
DOI: https://doi.org/10.1007/978-3-319-48753-3