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Multi-attribute integrated flow models for shale reservoir characterization

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Abstract

The information required to appraise shale plays include a detailed study of geological distribution, shale geochemistry, geomechanics and petrophysics. A collective information of all these properties can help in identifying sweet shale plays and better stimulation strategies can be planned and suggested for hydrocarbons extraction. The present paper is an attempt to develop an integrated multi attribute characterization model by systematically incorporating all the important reservoir and completion quality parameters essential for reservoir characterization and fracture modeling in shales. The study gives an in-depth understanding and necessary steps/methods that one may use for shale exploration and exploitation.

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Abbreviations

\( k_{{\text{a}}} \) :

Apparent permeability

\( \bar{P} \) :

Average pressure

B gi :

Gas formation volume factor

b k :

Slippage factor

B oi :

Oil formation volume factor

C g :

Compressibility factor

D k :

Knudsen diffusivity coefficient (ft2/day)

H :

Net organically rich shale thickness

k ∞ :

Intrinsic permeability (mD)

Kn :

Knudsen number

ɸ :

Porosity

ɸ m :

Matrix porosity

r :

Pore radius

S o :

Oil saturation

Z :

Compressibility factor

α :

Unit conversion factor

λ :

Mean free path

μ g :

Viscosity of gas

μ :

Viscosity

σ :

Interfacial tension

τ :

Tortuosity

A :

Area

CT:

Computed tomography

EIA:

Energy information administration

FTIR:

Fourier transform infrared spectroscopy

GIP:

Gas in place

HI:

Hydrogen index

HPP:

High pressure porosity

LPP:

Low pressure porosity

MICP:

Mercury intrusion capillary pressure

nD:

Nano darcy

OI:

Oxygen index

OOIP:

Original oil in place

PC:

Pyrolyzed carbon

PI:

Productivity index

PR:

Poisson’s ratio

S1:

Hydrocarbons present in the samples

S2:

Hydrocarbons produced during pyrolysis

S3:

Carbon dioxide generated from a gram of rock

SEM:

Scanning electron microscopy

T :

Temperature

T max :

Temperature at which maximum hydrocarbons are generated from kerogen degradation

TOC:

Total organic carbon content

TVD:

True vertical depth

SPF:

Shots per foot

V ro :

Vitrinite reflectance

XRF:

X-ray fluorescence

YM:

Young’s modulus

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Authors and Affiliations

  1. Pandit Deendayal Petroleum University, Gandhinagar, India

    Vaishali Sharma

  2. Gujarat Energy Research and Management Institute, Pandit Deendayal Petroleum University, Gandhinagar, India

    Anirbid Sircar

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  1. Vaishali Sharma
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Correspondence to Vaishali Sharma.

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Vaishali Sharma: Former Lecturer, Pandit Deendayal Petroleum University, Gandhinagar, India

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Sharma, V., Sircar, A. Multi-attribute integrated flow models for shale reservoir characterization. Multiscale and Multidiscip. Model. Exp. and Des. 3, 131–141 (2020). https://doi.org/10.1007/s41939-019-00065-y

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