خواص المكامن

MODULE DESCRIPTION FORM

نموذج وصف المادة الدراسية

Module Information معلومات المادة الدراسية
Module Title	Reservoir Characterization				Module Delivery
Module Type	C				☒ Theory ☒ Lecture ☒ Lab ☐ Tutorial ☐ Practical ☐ Seminar
Module Code	BOG1164
ECTS Credits	5
SWL (hr/sem)	125
Module Level		UGx11 UGIII	Semester of Delivery				Six
Administering Department		Oil and Gas Engineering	College	Oil and Gas Engineering
Module Leader			e-mail
Module Leader’s Acad. Title			Module Leader’s Qualification
Module Tutor			e-mail
Peer Reviewer Name			e-mail
Scientific Committee Approval Date			Version Number			1.0

Relation with other Modules

العلاقة مع المواد الدراسية الأخرى

Prerequisite module

Semester

Co-requisites module

Semester

Module Aims, Learning Outcomes and Indicative Contents

أهداف المادة الدراسية ونتائج التعلم والمحتويات الإرشادية

Module Objectives

أهداف المادة الدراسية

The objective of the subject is to provide petroleum engineering students with a comprehensive understanding of petroleum reservoir description and characterization. By the end of the course, students should be able to:

Demonstrate a solid understanding of the general principles and techniques used in petroleum reservoir description.
Apply geostatistical methods for analyzing and interpreting subsurface data from geological and engineering sources.
Evaluate reservoir heterogeneity and its impact on fluid flow and reservoir performance.
Define and analyze flow units to identify key reservoir zones and their characteristics.
Utilize statistical zonation techniques to partition reservoirs into meaningful subdivisions.
Estimate reserves using Monte Carlo simulation and understand the associated uncertainties.
Understand the concept of history matching and its role in validating reservoir models.
Apply history matching techniques to adjust reservoir model parameters and improve model accuracy.
Develop critical thinking and problem-solving skills in the context of reservoir characterization and evaluation.

Overall, the objective is to equip students with the knowledge and skills necessary to effectively describe, analyze, and evaluate petroleum reservoirs, enabling them to make informed decisions in the field of petroleum engineering.

Module Learning Outcomes

مخرجات التعلم للمادة الدراسية

The learning outcomes for the given class content are as follows:

Understand the general principles and techniques of petroleum reservoir description.
Gain knowledge and skills in geostatistics and its application in reservoir characterization.
Analyze and interpret subsurface data from geological and engineering sources.
Learn about reservoir heterogeneity and its impact on fluid flow and reservoir performance.
Understand the concept of flow units and their significance in reservoir characterization.
Acquire proficiency in statistical zonation techniques for subdividing reservoirs.
Develop skills in reserve estimation using Monte Carlo simulation.
Learn the concept of history matching and its role in validating reservoir models.
Apply history matching techniques to adjust reservoir model parameters.
Enhance critical thinking abilities and problem-solving skills in the context of reservoir characterization and evaluation.

Overall, the class aims to provide petroleum engineering students with a solid foundation in reservoir characterization principles, geostatistics, data analysis, reservoir heterogeneity, flow units, reserve estimation, and history matching. By achieving these learning outcomes, students will be equipped with the necessary knowledge and skills to effectively analyze and describe petroleum reservoirs.

Indicative Contents

المحتويات الإرشادية

General Principles & Techniques of Petroleum Reservoir Description, Introduction to Geostatistics (Experiment, Sample Space, Event, Probability, Probability Laws, Univariate Data Analysis, Estimation, Ordinary Kriging Technique, Semivariogram, Kriging Variance, Multivariate Data Analysis), Subsurface Data from Geological and Engineering Sources (Data Reconciliation, Integrating Data from Reports of Routine Core Analysis, SCAL, Logs and Well Testing, Permeability-Porosity Correlation, Averaging Permeability Data, Determination of Permeability Cutofs, Analyzing Relative Permeability Data, Determination of the Average Relative-Permeability, Methods of Determining Connate Water Saturation, Determination of the Average Capillary-Pressure, Wettability Measurements, Pay Thickness and Fluid Contacts, Net Pay Cutofs, Data of PVT Reports), Reservoir Heterogeneity (Microscopic Heterogeneity, Macroscopic Heterogeneity, Megascopic Heterogeneity,

Gegascopic Heterogeneity, Vertical-to-Horizontal Permeability Ratio, Anisotropy Index, Dykstra-Parsons Coefficient), Concept of Flow Units (Reservoir Quality Index, Flow Zone Indicator, Free Fluid Index), Statistical Zonation Technique, Reserve Estimation by Monte Carlo Simulation. Testing Validity of the Reservoir Model by History Matching (Performance Data to Be Matched, General Strategy for History Matching, Judging the Acceptability of a Model, Parameters that can Be Changed to Match History, Examples of Adjustments Required in History Matching, Concept of Automatic History Matching).

Learning and Teaching Strategies

استراتيجيات التعلم والتعليم

Strategies

The main strategy in delivering this module is to foster active student participation and enhance their critical thinking skills. This will be accomplished through a combination of interactive classes, engaging tutorials, and hands-on experiments that involve practical sampling activities. By encouraging students to actively engage with the course material, we aim to deepen their understanding of petroleum reservoir description and characterization. Through collaborative exercises and discussions, students will have opportunities to apply their knowledge, analyze real-world scenarios, and develop their problem-solving abilities. The incorporation of interactive elements and practical experiments will make the learning process more engaging and enjoyable for the students, promoting a deeper understanding and retention of the subject matter.

Student Workload (SWL)

الحمل الدراسي للطالب محسوب لـ ١٥ اسبوعا

Structured SWL (h/sem)

الحمل الدراسي المنتظم للطالب خلال الفصل

Structured SWL (h/w)

الحمل الدراسي المنتظم للطالب أسبوعيا

Unstructured SWL (h/sem)

الحمل الدراسي غير المنتظم للطالب خلال الفصل

Unstructured SWL (h/w)

الحمل الدراسي غير المنتظم للطالب أسبوعيا

Total SWL (h/sem)

الحمل الدراسي الكلي للطالب خلال الفصل

125

Module Evaluation تقييم المادة الدراسية
As		Time/Number	Weight (Marks)	Week Due	Relevant Learning Outcome
Formative assessment	Quizzes		10% (10)	5 and 10	LO #1, #2 and #10, #11
	Assignments		10% (10)	2 and 12	LO #3, #4 and #6, #7
	Projects / Lab.		10% (10)	Continuous	All
	Report		10% (10)	13	LO #5, #8 and #10
Summative assessment	Midterm Exam	1hr	10% (10)	7	LO #1 - #7
Summative assessment	Final Exam	2hr	50% (50)	16	All
Total assessment			100% (100 Marks)

Delivery Plan (Weekly Syllabus) المنهاج الاسبوعي النظري
Week	Material Covered
Week 1	General principles & techniques of petroleum reservoir description
Week 2	Introduction to geostatistics and probability concepts
Week 3	Univariate data analysis and estimation techniques
Week 4	Ordinary kriging technique and semivariogram analysis
Week 5	Multivariate data analysis and integrating subsurface data sources
Week 6	Analyzing permeability-porosity correlation and averaging permeability data
Week 7	Relative permeability analysis and determination of average values
Week 8	Methods for determining connate water saturation and capillary pressure
Week 9	Wettability measurements and analysis of pay thickness
Week 10	Reservoir heterogeneity and anisotropy index
Week 11	Concept of flow units and statistical zonation technique
Week 12	Reserve estimation using Monte Carlo simulation
Week 13	History matching and testing the validity of reservoir models
Week 14	Recap and problem-solving exercises
Week 15	Final exam preparation and course summary
Week 16	Preparatory week before the final Exam

Delivery Plan (Weekly Lab. Syllabus) المنهاج الاسبوعي للمختبر
Week	Material Covered
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7

Learning and Teaching Resources مصادر التعلم والتدريس
	Text	Available in the Library?
Required Texts
Recommended Texts	Title: "Principles of Applied Reservoir Simulation" Author: John R. Fanchi Publisher: Gulf Professional Publishing ISBN: 978-0123838463
Websites

Grading Scheme مخطط الدرجات
Group	Grade	التقدير	Marks %	Definition
Success Group (50 - 100)	A - Excellent	امتياز	90 - 100	Outstanding Performance
	B - Very Good	جيد جدا	80 - 89	Above average with some errors
	C - Good	جيد	70 - 79	Sound work with notable errors
	D - Satisfactory	متوسط	60 - 69	Fair but with major shortcomings
	E - Sufficient	مقبول	50 - 59	Work meets minimum criteria
Fail Group (0 – 49)	FX – Fail	راسب (قيد المعالجة)	(45-49)	More work required but credit awarded
Fail Group (0 – 49)	F – Fail	راسب	(0-44)	Considerable amount of work required

Note: Marks Decimal places above or below 0.5 will be rounded to the higher or lower full mark (for example a mark of 54.5 will be rounded to 55, whereas a mark of 54.4 will be rounded to 54. The University has a policy NOT to condone "near-pass fails" so the only adjustment to marks awarded by the original marker(s) will be the automatic rounding outlined above.

خواص المكامن

Reservoir Characterization

C

BOG1164

5

125