This document provides an overview of unsteady-state flow and the diffusivity equation, which is used to model pressure changes over time in reservoirs. It discusses the assumptions and solutions of the diffusivity equation, including the Ei-function and dimensionless pressure drop solutions. The constant-terminal pressure and constant-terminal rate solutions are examined. Graphs demonstrate how pressure profiles change over different times based on these solutions. The document also explores using dimensionless variables to simplify analyses of unsteady-state flow regimes.
All hydrocarbon reservoirs are surrounded by water-bearing rocks called aquifers which they effect on reservoir performance. it's a key role for production evaluation and therefore it should be managed.
All hydrocarbon reservoirs are surrounded by water-bearing rocks called aquifers which they effect on reservoir performance. it's a key role for production evaluation and therefore it should be managed.
21 Rock Fluid Interactions Capillary Rise, Capillary Pressure, J.docxeugeniadean34240
21 Rock Fluid Interactions Capillary Rise, Capillary Pressure, J Functions.pdf
107
Petr 3520: Rock-Fluid Interactions (such as capillary rise, capillary pressure…) Class 21
So far in this class we have studied rock properties (, k, cf, etc.) and fluid properties. But reservoir
engineers must also understand immiscible fluid-fluid interactions and rock-fluid interactions.
In petroleum reservoirs we have:
1. Microscopic-sized pores + two or more (immiscible) fluids (oil-water, gas-water, or oil-gas-
water) which typically do not mix (they are immiscible, not miscible). The rocks are water-wet or oil-wet
(which means that the rock is preferentially wetted by water or oil).
Because the pores are so small, the surface area (fluid-rock contact, and fluid-fluid contact (for example,
oil to water)) to volume (of fluid and/or rock) is very high, thus surface forces become significant.
Example Calculation: 1 ft
3
cube of rock, assume to be bundle of 1 mm dia tubes each 1 ft = 304.8 mm
long. There are 300
2
= 90,000 tubes in this cube. Surface area in mm
2
, convert to ft
2
: A = 1000 ft
2
.
2. What are surface forces? Surface forces exist at (immiscible) liquid-liquid and liquid-solid interfaces.
Surface forces arise due to relative Adhesion vs. Cohesion.
Cohesion (“stick or stay together”) is a property of a fluid whose molecules have high intermolecular
attraction. The fluid’s molecules would rather stick to themselves rather than another fluid or nearby
surface.
Adhesion is the degree to which a fluid will “stick” to a nearby solid surface.
3. Wetting, Contact Angle: These are the result of the relative cohesion vs. adhesion of two fluids and a
solid surface.
Fluid “wets” a surface: Adhesion > Cohesion. The fluid’s molecules preferentially attracted to
surface.
Fluid does not “wet” the surface: Cohesion > Adhesion. The fluid’s molecules preferentially
attracted to fluid.
Contact Angle: Angle formed between a fluid drop and a solid surface, measured through the fluid.
4. Examples of wettability, contact angle (): A fluid’s interaction with a solid surface:
Rain-X on automobile windshields
Gore Tex fabric
Non-stick fry pans
5. Examples of a fluid’s cohesion vs. adhesion (relative affinity of a fluid’s molecules to itself or to a solid
surface)
Round drops on plant leaves, on non-stick frying pans (for a fluid to form drops like this, the
fluid’s molecules would rather cohere with other fluid molecules than adhere to a solid surface)
6. Surface tension (): Between a fluid’s surface and air. Units: [work/area] = [dyne-cm/cm
2
] A fluid
wants to minimize its free surface. It takes work or energy to create additional surface area.
Free fluids form drops (minimum surface area)
Round drops on plants (cohesion
Water bugs
Coin or paper clip float on water
108
7. Interfacial tension (): Between two fluids, e.g. .
Fluid Mechanics Chapter 4. Differential relations for a fluid flowAddisu Dagne Zegeye
Introduction, Acceleration field, Conservation of mass equation, Linear momentum equation, Energy equation, Boundary condition, Stream function, Vorticity and Irrotationality
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. 1. SS Regime: R Flow, IC & SC Fluids
A. SS Regime: R Flow, C Fluids
2. Multiple-Phase Flow
3. Pressure Disturbance in Reservoirs
4. USS Flow Regime
A. USS: Mathematical Formulation
3. 1. Diffusivity Equation
A. Solutions of Diffusivity Equation
a. Ei-Function Solution
b. pD Solution
c. Analytical Solution
4.
5. Gaining Diffusivity Equation
To simplify the general partial differential equation,
assume that the permeability and viscosity are
constant over pressure, time, and distance ranges.
This leads to:
Expanding the above equation gives:
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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6. Gaining Diffusivity Equation (Cont.)
Using the chain rule in the above relationship
yields:
Dividing the above expression by the fluid density ρ
gives
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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7. Gaining Diffusivity Equation (Cont.)
Recalling that the compressibility of any fluid is
related to its density by:
Define total compressibility, ct, as ct=c+cf,
(the time t is expressed in days.)
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8. Diffusivity Equation
Diffusivity equation is one of the most important
equations in petroleum engineering.
The equation is particularly used in analysis well testing data
where the time t is commonly recorded in hours. The
equation can be rewritten as:
Where k = permeability, md
r = radial position, ft
p = pressure, psia
ct = total compressibility, psi−1
t = time, hrs
φ = porosity, fraction
μ = viscosity, cp
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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9. Total Compressibility
in Diffusivity Equation
When the reservoir contains more than one fluid,
total compressibility should be computed as ct =
coSo + cwSw + cgSg + cf
Note that the introduction of ct into diffusivity
equation does not make it applicable to multiphase
flow;
The use of ct, simply accounts for the compressibility of
any immobile fluids that may be in the reservoir with the
fluid that is flowing.
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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10. Diffusivity Constant
The term [0.000264 k/φμct] is called the diffusivity
constant and is denoted by the symbol η, or:
The diffusivity equation can then be written in a
more convenient form as:
2013 H. AlamiNia
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11. Diffusivity Equation
Assumptions and Limitations
The diffusivity equation is essentially designed to
determine the pressure as a function of time t and
position r.
Summary of the assumptions and limitations used
in diffusivity equation:
1. Homogeneous and isotropic porous medium
2. Uniform thickness
3. Single phase flow
4. Laminar flow
5. Rock and fluid properties independent of pressure
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12.
13. Flash Back:
Laplace’s Equation for SS Regime
Notice that for a steady-state flow condition,
The pressure at any point in the reservoir is
Constant and
Does not change with time, i.e., ∂p/∂t = 0,:
2013 H. AlamiNia
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14. Diffusivity Equation Solutions
Based on the boundary conditions imposed on
diffusivity equation, there are two generalized
solutions to the diffusivity equation:
Constant-terminal-pressure solution
Constant-terminal-rate solution
2013 H. AlamiNia
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15. Constant-Terminal-Pressure Solution
The constant-terminal-pressure solution is
designed to provide the cumulative flow at any
particular time for a reservoir in which the pressure
at one boundary of the reservoir is held constant.
The pressure is known to be constant at some particular
radius and the solution is designed to provide the
cumulative fluid movement across the specified radius
(boundary).
This technique is frequently used in water influx
calculations in gas and oil reservoirs.
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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16. Application of
Constant-Terminal-Rate Solution
The constant-terminal-rate solution is an integral
part of most transient test analysis techniques, such
as with drawdown and pressure buildup analyses.
Most of these tests involve producing the well at a
constant flow rate and recording the flowing pressure as
a function of time, i.e., p (rw, t).
2013 H. AlamiNia
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17. Constant-Terminal-Rate Solution
In the constant-rate solution to the radial diffusivity
equation, the flow rate is considered to be constant
at certain radius (usually wellbore radius) and
The pressure profile around that radius is
determined as a function of time and position.
These are two commonly used forms of the
constant-terminal-rate solution:
The Ei-function solution
The dimensionless pressure pD solution
2013 H. AlamiNia
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18.
19. The Ei-Function Solution Assumptions
Matthews and Russell (1967) proposed a solution
to the diffusivity equation that is based on the
following assumptions:
Infinite acting reservoir, i.e., the reservoir is infinite in
size. (BC)
The well is producing at a constant flow rate. (BC)
The reservoir is at a uniform pressure, pi, when
production begins. (IC)
The well, with a wellbore radius of rw, is centered in a
cylindrical reservoir of radius re. (The Ei solution is
commonly referred to as the line-source solution.)
No flow across the outer boundary, i.e., at re.
2013 H. AlamiNia
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20. Ei-Function Solution
Employing the above conditions, the authors
presented their solution in the following form:
Where p (r, t) = pressure at radius r from the well
after t hours
t = time, hrs
k = permeability, md
Qo = flow rate, STB/day
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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21. Exponential Integral
The mathematical function, Ei, is called the
exponential integral and is defined by:
For x > 10.9, the Ei (−x) can be considered zero for all
practical reservoir engineering calculations.
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22. Values of the Ei-Function
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23. Exponential Integral Approximation
The exponential integral Ei can be approximated
(with less than 0.25% error) by the following
equation when its argument x is less than 0.01:
Ei (−x) = ln (1.781x)
Where the argument x in this case is given by:
(t = time, hr, k = permeability, md)
2013 H. AlamiNia
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24. Behavior of the Pwf
When the parameter x in the Ei-function is less than
0.01, the log approximation can be used in the EiFunction Solution to give:
For most of the transient flow calculations, engineers
are primarily concerned with the behavior of the
bottom-hole flowing pressure at the wellbore, i.e., r =
rw
Where k = permeability, md, t = time, hr, ct = total
compressibility, psi−1
2013 H. AlamiNia
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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25. Pressure Profiles as a Function of Time
Most of the
pressure loss
occurs close
to the
wellbore;
accordingly,
near-wellbore
conditions will
exert the
greatest
influence on
flow behavior.
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26.
27.
28. The Dimensionless Pressure Drop (pD)
Solution
The second form of solution to the diffusivity
equation is called the dimensionless pressure drop.
Well test analysis often makes use of the concept
of the dimensionless variables in solving the
unsteady-state flow equation.
The importance of dimensionless variables is that they
simplify the diffusivity equation and its solution by
combining the reservoir parameters (such as
permeability, porosity, etc.) and thereby reduce the total
number of unknowns.
2013 H. AlamiNia
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29. Dimensionless Pressure Drop Solution
Introduction
To introduce the concept of the dimensionless
pressure drop solution, consider for example
Darcy’s equation in a radial form as given previously
by:
Rearrange the above equation to give:
2013 H. AlamiNia
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30. Dimensionless Pressure
It is obvious that the right hand side of the above
equation has no units (i.e., dimensionless) and,
accordingly, the left-hand side must be
dimensionless.
Since the left-hand side is dimensionless, and (pe −
pwf) has the units of psi, it follows that the term
[Qo Bo μo/ (0.00708kh)] has units of pressure.
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31. pD in Transient Flow Analysis
In transient flow analysis, the dimensionless
pressure pD is always a function of dimensionless
time that is defined by the following expression:
2013 H. AlamiNia
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32. Dimensionless Time
In transient flow analysis, the dimensionless pressure pD is
always a function of dimensionless time that is defined by
the following expression:
The above expression is only one form of the dimensionless
time.
Another definition in common usage is tDA, the
dimensionless time based on total drainage area.
Where A = total drainage area = π re^2, re = drainage radius,
ft, rw = wellbore radius, ft
2013 H. AlamiNia
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33. Dimensionless Radial Distances
The dimensionless
pressure pD also varies
with location in the
reservoir as
represented by the
dimensionless radial
distances rD and reD
that are defined by:
2013 H. AlamiNia
Where
pD = dimensionless
pressure drop
reD = dimensionless
external radius
tD = dimensionless time
rD = dimensionless
radius
t = time, hr
p(r, t) = pressure at
radius r and time t
k = permeability, md
μ = viscosity, cp
Reservoir Engineering 1 Course: USS regime for Radial Flow of SC Fluids
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34. Dimensionless Diffusivity Equation
The above dimensionless groups
(i.e., pD, tD, and rD)
can be introduced into the diffusivity equation to
transform the equation into the following
dimensionless form:
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35.
36. Analytical Solution Assumptions
Van Everdingen and Hurst (1949) proposed an
analytical solution to the dimensionless diffusivity
equation by assuming:
Perfectly radial reservoir system
The producing well is in the center and producing at a
constant production rate of Q
Uniform pressure pi throughout the reservoir before
production
No flow across the external radius re
2013 H. AlamiNia
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37. Van Everdingen and Hurst Solution
Van Everdingen and Hurst presented the solution to
the in a form of infinite series of exponential terms
and Bessel functions.
The authors evaluated this series for several values of
reD over a wide range of values for tD.
Chatas (1953) and Lee (1982) conveniently
tabulated these solutions for the following two
cases:
Infinite-acting reservoir
Finite-radial reservoir
2013 H. AlamiNia
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38. Infinite-Acting Reservoir
When a well is put on production at a constant flow
rate after a shut-in period, the pressure in the
wellbore begins to drop and causes a pressure
disturbance to spread in the reservoir.
The influence of the reservoir boundaries or the shape
of the drainage area does not affect the rate at which
the pressure disturbance spreads in the formation.
That is why the transient state flow is also called
the infinite acting state.
2013 H. AlamiNia
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39. Parameters Affecting Pwf
during Infinite Acting Period
During the infinite acting period, the declining rate
of wellbore pressure and the manner by which the
pressure disturbance spreads through the reservoir
are determined by reservoir and fluid
characteristics such as:
Porosity, φ
Permeability, k
Total compressibility, ct
Viscosity, μ
2013 H. AlamiNia
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40. pD Values for
the Infinite-Acting Reservoir
For an infinite-acting
reservoir, i.e., reD = ∞,
the dimensionless
pressure drop function
pD is strictly a function
of the dimensionless
time tD, or:
Chatas and Lee
tabulated the pD values
for the infinite-acting
reservoir.
2013 H. AlamiNia
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41. pD Approximation
for the Infinite-Acting Reservoir
The following mathematical expressions can be
used to approximate these tabulated values of pD:
For tD < 0.01:
For tD > 100:
For 0.02 < tD < 1000:
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42. 1. Ahmed, T. (2006). Reservoir engineering
handbook (Gulf Professional Publishing). Ch6
43. 1. USS(LT) Regime for Radial flow of SC Fluids:
Finite-Radial Reservoir
2. Relation between pD and Ei
3. USS Regime for Radial Flow of C Fluids
A. (Exact Method)
B. (P2 Approximation Method)
C. (P Approximation Method)
4. PSS regime Flow Constant