Projects/Publications

This page lists some of the projects I have done, in no particular order. I have also developed my own Artificial Intelligence and Predictive Analysis software (Yes! I can also code.) using the techniques mentioned here. It is a cloud based application. If you are interested, I can give a demonstration. Feel free to send me an email to schedule a demonstration.

  1. Deconvolution of Vibrational Data to Identify the Ambiguity in Downhole Tool Failure. (SPE 181491)
    As the drilling industry enters the era of big data, it has become necessary to find ways to organize and understand the vast amounts of real-time high frequency data recorded. real-time accelerations recorded down hole actually differ from those predicted by various models, either in the high frequency range or at peak values. These differences in vibration levels can be attributed to noise from various sources. The objective is to obtain the actual unmodulated acceleration values from the recorded downhole gauge data and then making the real time data monitoring and failure prediction more accurate, reliable and straightforward by using jerk intensity analysis and empirical mode decomposition.
    Available in software. Click here for a demonstration.

 

  1. Rig Time Analysis using Empirical Mode Decomposition to Find the Invisible Nonproductive Time.
    The goal here is to bring a paradigm shift in calculating nonproductive time. The objective is to first identify and quantify the invisible nonproductive time using the recorded rig activity data. Once the invisible NPT is defined, signal reconstruction techniques using activity weighing methods are used to automate the whole process. This leads to the development of an automation black box which calculates NPT using the WITSML data and constraints fed to it, eliminating the need of manual calculations (current industry standard of using KPI). This will be instrumental in making the decision making process for drilling more reliable by maximizing the time value of information.
    Available in software. Click here for a demonstration.

 

  1. Real Time Vibration Failure Prediction using Empirical Mode Decomposition.
    The objective of this work is to answer the simple question: when and how much should the user be worried about failure due to high vibrations. It is suggested to continuously decompose the real time data into its Intrinsic Mode Function and monitor the incremental IMF trend and IMF energy at each depth.
    Available in software. Click here for a demonstration.

 

  1. Nodal Analysis.
    Performed Nodal analysis, using VBA in Excel, for a two phase oil well using Modified Hagedorn and Brown method and Griffith method. The objective is to become an empowered engineer who could rely on his capabilities and knowledge to make decisions and recommendations without the use of any fancy software.
    Available in software. Click here for a demonstration.

 

  1. Reservoir Simulation- History Matching and Prediction.
    The reservoir data provided in the form of structure maps, petro physical properties, well locations, histories and PVT properties were used for making necessary predictions for selecting optimum well locations and developing strategy to optimize reservoir performance using the commercial reservoir simulator, CMG IMEX.

 

  1. Performance Prediction of an Isolated Quadrant of a Five Spot Pattern.
    To demonstrate the reliability, efficiency and accuracy of the stream tube model, the sweep efficiency at breakthrough calculated by this model was compared with the laboratory performance of a five spot flood pattern. The objective is to become an empowered engineer who could rely on his capabilities and knowledge to make decisions and recommendations without the use of any fancy software.

 

  1. The future energy mix.
    Being in the oil business it is important to understand the impact our latest techniques (horizontal drilling and hydraulic fracturing) have on the nature and society. It is also important to understand the impact renewable energy resources can have on our business and how we should position ourselves to tackle it. After all, it is about the money! The objective was to understand and predict the energy mix in the next 25 and 50 years respectively.

 

  1. The Impact and future of Tesla Motors.
    Tesla is the most anticipated and talked about competitor of the oil business. This project tracked the growth of Tesla overtime to understand its strategies and the impact it can have on the future energy mix. Keeping all this in mind, future recommendations for the company were made.

 

  1. Undergraduate Thesis.
    Reserve estimation and reservoir characterization of a filed in Mehsana asset of ONGC. The objective was to develop a practical insight about the real world techniques. Used logging, material balance equation and decline curve analysis. Predicted economic limit of the reservoir.

Just because we live in a world of personal branding-

I  am an one stop solution for all your problems, ain’t I?

 

 

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