Fundamentals Of Streamline Model For Waterflooding

A practical guide to Streamline Modelling Using Python

What you'll learn

Will learn how to visualize movement of injected water in a plane Reservoir

Using a python program learn to predict waterflood performance

Will get a tool to understand the waterflood being monitored

Learn how to use a python program to assess the use of polymer-flooding for Enhanced oil Recovery in a moderately heavy oil reservoir

Requirements

Fundamental knowledge of Reseroir Engineering and familiarity with python programing

Description

This course is about how to use python to model Waterflooding. Waterflooding is the most popular secondary recovery technique widely practiced throughout E&P industry. However, there are no simple tools to model waterflood to answer some of the basic questions like when to expect breakthrough of water, how the flood front looks like, are there any opportunities to improve ongoing waterflood and how heterogeneities impact waterflood performance.Although Commercial Numerical Simulation approaches are available, they require specialised training which is time consuming. With the popularity of python, it is possible to understand the intricacies of a waterflood process in a more transparent manner.The course is meant for Reservoir Engineers, Geoscientists working in Sub Surface team and all those concerned with reservoir management of waterflood processes in an oil field. Working knowledge of python/running python programs in a GoogleColab environment is assumed.The participants will get an in-depth view of how injected water moves from water injection wells to oil production wells. They will explore the python programs to study various kinds of sensitivities of waterflood performance to placement of injectors and producers and how the heterogeneities in permeability and effective thickness will impact waterflood performance. It will also provide an insight in on how the convective and diffusive displacement takes place along streamlines.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Section-wise details

Section 2: Linear Displacement Models

Lecture 3 Linear Displacement Processes

Lecture 4 Leaky Piston Displacement

Lecture 5 Python programs for linear leaky piston displacement processes

Section 3: 2D Streamtube models for homogeneous reservoirs using Method Of Images

Lecture 6 Basic Principles Of Streamtube Models

Lecture 7 Applications of Steady State Line Source Solution using Excel & VB

Lecture 8 Basic Principles Of Streamline Modelling using Method Of Images

Lecture 9 The streamline & Flood Front Plot Part-I

Lecture 10 The Streamline and Flood Front Plot part II (Complete Model)

Lecture 11 Applications Of Trace7f

Section 4: Streamline Modelling Using A Finite Difference Approach

Lecture 12 Streamline Modelling using A Finite Difference Approach

Lecture 13 2D Streamline model using Finite Difference technique using new20b.ipynb

Lecture 14 Plotting Flood Front & Pattern Flood Performance

Lecture 15 Waterflood Surveillance Using Streamline Model

Section 5: Saturation Modelling Along A Streamline

Lecture 16 Saturation Modelling along a single streamline

Lecture 17 Saturation Modelling in 2D using impe3.ipynb

Section 6: Streamline Model For Polymer Flooding

Lecture 18 Polymer Flooding Model :1d using poly1d.ipynb

Lecture 19 A 2D Polymer flood Streamtube Model

Reservoir and Petroleum Engineers, Subsurface Geoscientists involved in oil field Reservoir Management and Graduate Postgraduate and Doctoral Students involved in Subsurface Activities of Waterflooding and Chemical Flooding in Oil Fields ,