Field Drilling Data Cleaning and Preparation for Data Analytics Applications

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Description

Field Drilling Data Cleaning and Preparation for Data Analytics Applications is a well-researched Engineering Thesis/Dissertation topic, it is to be used as a guide or framework for your Academic Research.

Abstract

Throughout the history of oil well drilling, service providers have been continuously striving to improve performance and reduce total drilling costs to operating companies. Despite the constant improvement in tools, products, and processes, data science has not played a large part in oil well drilling.

With the implementation of data science in the energy sector, companies have come to see significant value in efficiently processing the massive amounts of data produced by the multitude of the internet of thing (IOT) sensors at the rig. The scope of this project is to combine academia and industry experience to analyze data from 13 different wells drilled in an area of 2 x 4 miles.

The data was collected in the same rig and contains over 12 million electronic drilling recorder data points, driller’s activity logs and well profiles. The main focus is to propose a detailed workflow to clean and process real drilling data. Once cleaned, the data can be fed into data analytics platforms and machine learning models to efficiently analyze trends and plan future well more efficiently.

This roadmap will serve as a basis for drilling optimization. The objective of this work is to detail the various steps needed to prepare field drilling data for business analysis, as well as discuss data analytics and machine learning application in drilling operations. The results to be presented are the detailed workflow and description of the data preparation steps, an example analysis of the drilling data, and an example application of a machine learning model in drilling.

Introduction

1.1. Petroleum Engineering Overview

The exploration of oil and gas is a very complex process that comprises a multitude of skilled professionals, each of them working in their area of expertise to bring petroleum fluids from the subsurface of the earth to the production facility. Once refined, petroleum products are used in multiple forms such as fuel, petrochemicals, additives to agricultural products, clothing, cosmetics, plastics, and polymers, just to name a few.

From the time an oil company bids for an exploration lease, to when it removes all equipment used to produce the oil and returns the area to the government, engineering work is present in all steps. An overview of the processes performed in the search, discovery, and extraction of petroleum from the ground is depicted in Fig. 1.1. Figure 1.1. Oil and Gas Life Cycle The typical oil and gas life cycle comprises five main phases: 1.

Exploration: Oil companies, the so-called Operators, purchase land where it is believed to have oil or gas in the subsurface to be explored. Usually, appraisal seismic is done by the government natural resources agency, in order to provide initial information about the lithology and geology of the area beneath the lease. Seismic is the technique used by the geologists in the attempt of describing the layers of rocks and sediments along with the Earth’s crust.

With the creation of sound waves generated by explosives and then calculating the travel time taken for the waves to come back, the analyst can infer how the layers are organized. From a petroleum exploration perspective, it is very important to identify geological features like faults and sealing layers that could facilitate the accumulation of hydrocarbon fluids. A schematic of the seismic shooting process as well as an example of seismic interpretation is shown in Fig. 1.2.

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Additional information

Type

Thesis/Dissertation topic

Category

Engineering

No of Chapters

5

Reference

Yes

Format

PDF

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