My main interests are primarily focused on, but not limited to Reservoir Characterization, Seismic, Rock Physics, Geophysical Modeling and Inversion, Reservoir flow modeling and Simulation, especially in the understanding of Carbon Dioxide-enhanced oil recovery and its sequestration. Below are some of my research projects:

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1. Investigating the origin of Indian Ocean Geoid & Gravity lows: A Geophysical Perspective

   (Funding Agency: DST, Govt. of India)

 

The wide geoid and gravity low in the Indian Ocean to south of Indian sub-continent is the largest and most prominent feature in the gravitational field of the earth, whose origin is still indistinct. Basically, gravity field and geoid anomalies provide the most direct evidence on the mass distribution in the earth’s interior and hence, it holds special significance related to geodynamics of a region. The main goal of this work is to elucidate the scientific challenge associated with the origin of the Indian Ocean geoid and gravity lows. I am the PI of this project.

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2.  Harnessing AI/ Machine Learning to improve hydrocarbon reservoir characterization

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Rapid technological developments and emerging digital opportunities promise to transform the oil and gas industry for better. AI and machine learning are techniques that help us to manage large data sets intelligently. Often considered a subset of AI, machine learning enables computers to learn without being explicitly programmed, finding hidden patterns, and generating new insights. This project aims to solve the complex issues of hydrocarbon reservoir in a radically faster and effective way by harnessing innovative machine learning tools – ultimately will help in building the next generation of reservoir characterization.

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3. Integrated petrophysical, pore pressure and in-situ stress modeling for enhanced reservoir characterization

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In this project, I am involved in the investigation of qualitative petrophysical analysis, pore pressure and in-situ stress modeling using state-of-the-art ML algorithms and conventional approaches for enhanced reservoir characterization. This will help to understand the framework for defining productive zones and deep understanding of flow characteristics including spatial distribution of continuous and discrete reservoir properties for performance prediction of a reservoir.

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4. Deep Seismic Sounding profiles in Gujarat to decipher the subsurface nature of major faults also to

    detect the hidden faults in the region

    (Funding Agency: ISR, Gujarat)

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In this project, I am an active member dealing with the investigation of nature of faults through the analyses of seismic data collected in Gujarat, Western India. 

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1. Reservoir Modeling and Simulation using Gas injection method (EOR)

 

As a part of this project, I have accomplished intensive training on PETREL and ECLIPSE conducted by Schlumberger, India and performed studies on Geomodel building and reservoir simulation for enhanced oil recovery.

 

Visited SINTEF Petroleum Research Centre, Trondheim, Norway for about 100 days as a Visiting Researcher and took part in the study of the estimation for CO2-Enhanced oil recovery in a mature Indian oil field. In this context, I have performed the responsibilities of reservoir modeling and simulation, interpretation of the results, preparing project reports, project execution plan and working in close integration with project expertise from SINTEF (well engineers, reservoir engineers). As an outcome, two papers were published in SCI journals.

 

2. Rock physics diagnostic for reservoir characterization in low-to-intermediate-porosity sandstones

 

Rock physics model has been developed to analyze the velocity-porosity trends as per the depositional sequences. This has helped us to establish useful relations between seismic observables and porosity. Also, the texture of the rock, the position of diagenetic cement; grain size sorting; effect of clay, etc. has been analysed for Cambay Basin, India. A paper has been published in Jour. of Applied Geophys., a SCI journal.

 

3. Extraction of eigenimages from gravity anomalies –an approach towards gravity inversion

 

In this project, we have analysed the gravity data from Jabera-Damoh, Vindhyan basin (India), to extract structural information by eigen images with the help of SVD and multi-fractal methods.We studied different layers that depict the regional as well as local anomaly and the spatial relationship between the deep geological structure and petroleum deposits in JaberaDamoh region by extracting the gravitational information in certain frequency to provide valuable evidences for predicting new petroleum deposits in depth.

 

4. A Matlab Project on Simulation of fluid flow in a porous media (reservoir)

 

In this study, the mathematics and the numerics behind reservoir simulation i.e., the physics that govern the reservoir flow process is attempted to study. To become familiar with the basics of reservoir simulation a Matlab code is developed. This problem includes solution to an isotropic homogenous porous media and later to have real feel of simulator, a heterogeneous porous media is also considered & results are analysed.

 

5. Target Detectability & Reservoir Characterization Using 1D Marine Controlled Source ElectroMagntics (CSEM)

 

Various 1D Marine CSEM responses have been generated over layered earth model to study the feasibility of this method & efficiency to detect the hydrocarbon bearing reservoir. The 1D problem has been computed using numerical method to attain the required accuracy. Further an attempt has been made to characterize the reservoir by determining the water and Hydrocarbon saturation.

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