Abstract

The imbibition experiment is an effective approach for measuring petrophysical properties of porous media, with many such experiments performed over the past decade. Quite some empirical, analytical, and numerical models have been developed to simulate spontaneous imbibition of the wetting phase fluid into porous media, but limitations still exist. In previous studies, the imbibition process has been considered to give a piston-like displacement or the porous medium modeled as multiply-sized pores linked with bonds; both approaches fail to yield comprehensive results due to their neglect of the presence of irregular fractures or nonuniform flow paths through the matrix. By building a numerical model for simulating laboratory-scale experimental data, we performed imbibition tests on several fractured Barnett Shale samples having fractures either parallel ( P ) or transverse ( T ) to the bedding plane and used MATLAB to build a new numerical model by combining the imbibition process in fractures and the matrix using concepts from percolation theory. The experimental data show that the rocks with P -direction fractures have a more steady increase of imbibition rates than the case of T -direction one. As the shale matrix with low pore connectivity hampers the upward water movement, the imbibition rate of shales with T -direction fractures will decrease suddenly after the bottom layer in contact with water is saturated during the initial period. This wetting phase movement (WPM) model can simulate 3D porous media with 2D fractures. The rate of imbibition by fractured porous media is associated with physical parameters such as porosity and fracture distribution (e.g., the number and angle of fractures). Using Monte Carlo methods, we examined fracture parameters and predicted elapsed time and cumulative water imbibition, for the Barnett Shale samples. The results show that the rate of imbibed water mass is sensitive to the number of fractures directly connected to water source, and the connectivity between two neighboring grid cells is a key parameter for the wetting-front progression. The findings of this study can help to better understand the imbibition process with multiple influencing processes and factors in fractured-matrix rocks. Although the experiments, data simulation, and prediction results are based only on Barnett Shale samples, the model is readily applicable to imbibition tests of other fractured rocks to show the spatial and temporal behavior during a dynamic imbibition process that are not easily captured experimentally.

Highlights

  • Many reservoirs have been utilized in various fields of energy and environmental geosciences, such as groundwater exploitation, safe storage of high-level nuclear waste in geological repository, geothermal mining, and petroleum exploration in both conventional and unconventional rock formations

  • The wetting phase movement (WPM) model was derived from the percolation theory which has been applied to water

  • We introduce a new model for wetting phase imbibition in the fractured porous media

Read more

Summary

Introduction

Many reservoirs have been utilized in various fields of energy and environmental geosciences, such as groundwater exploitation, safe storage of high-level nuclear waste in geological repository, geothermal mining, and petroleum exploration in both conventional and unconventional rock formations. Spontaneous imbibition is a critical process during the hydraulic stimulation and wells shut-in for production preparation, which cause over 50% of the injected fluids to flow through the matrix and fractures by capillary force [8]. This displacement process affects many reservoir properties, for example, the relative permeability and consequent petroleum movement into the producing well [4]. The model provides a visualization of the imbibition process in 3D scale and successfully predicts the imbibition experiments of Barnett Shale with multisized parallelogram fractures

Samples and Methods
Basic Theory and Assumptions
Mathematical Modeling
Simulations with Fractured Barnett Shale
Model Prediction
Summary and Conclusions
Findings
Embedded 2D Fractures in 3D Models

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.