Nodal Analysis Well Modeling *PRERECORDED*

weight: 400;">Reservoir fluids description, different methods of building fluid model, PVT concept and usage. Concept of single phase and multiphase flow through reservoirs. Different IPR reservoir models and how to be used. How to apply more inflow modelling options “Multi-layer reservoirs, Relative permeability, sand failure and compaction permeability model”. Concept of single phase and multiphase flow in pipes. Different VLP correlations and how it will be used to calculate the relation between the fluid flow rate and the pressure loss in pipes. Concept of single phase and multiphase flow in chokes and the meaning of sonic and subsonic flow through chokes. How to build and validate a complete well model for NF wells. How to match the NF well model and how to perform sensitivities. How to evaluate the well performance under any condition. How to build and validate well model for AL wells (GL and ESP) How to match the AL well model (GL and ESP), and how to perform sensitivities. How to use the quick look option to check and diagnose the performance of the AL systems (GL and ESP). How to perform design for the GL and ESP using a well modelling application.

Structure styles for hydrocarbon entrapment

  o Unconformity      o Thickness variation• Basin inversion concept and criteria’s.• Tectonic framework of Egypt.• Types of Traps.• Petroleum system elements.• Prospect evaluations & ranking.      o Oil/gas in place      o Oil/gas reserve      o Risked reserve

Electric Submersible Pumps (ESPs)

Oil Field Data Management

Programming Fundamentals using Python Level 1

r code? What is meant by a variable? What is meant by an expression? Order of operations. String Operations in Python. How to write comments in Python ? What is meant by a function? Function types and uses in Python. What is meant by parameters and arguments? Fruitful and void functions in Python. Boolean expressions in Python. What is meant by logical operators and how can you use them in Python? Conditional execution in Python. Chained and Nested conditionals in Python. Recursion in Python. Return values, Boolean functions and checking types in Python. Iteration statements in Python (While loop, for loop, break). How to deal with strings in Python (ex. Get the length of a string, traverse a string, string methods, in operator, compare two strings, etc.)?

Material Balance practice

br /> 2. Monte Carlo Simulation 3. Alternative method: Deterministic Method Day Three:- Decline curve tool: DCA, Why? DCA Types; and Arps Restrictions. Case studies: 7 cases. Some Tips, Tricks and Traps. Day Four:- 1D Model tool: 1D Model Applications. Case studies: 2 cases. Reservoir allocation tool: Allocation meaning. Why allocation. Case studies: 2 cases.   Day Five:- Tight gas tool: Applications. Case study

Practical Reservoir Simulation Part 1

onï‚· Structural frameworkï‚· Reservoir model designï‚· Structural compartments: fault geometryï‚· Reservoir architecture: facies model ï‚· Depletion strategyï‚· Development strategy ï‚· Simulation grid modificationsï‚· History matching workflowï‚· Multiple scenarios, realizations, and rankingï‚· Screen alternative production strategiesï‚· Sensitivity and uncertainty analysis ï‚· Simulation grid propertiesï‚· Dynamic modelling

Oil Field Data Management Part 1

injection monitoring and surveillance+ Pattern analysis for waterflood optimization+ Perform Well and completion performance analysis and diagnostics+ Production forecasting for field- or well-level analysis+ Performance benchmarking and vintage analysis+ Build an interactive dashboard for improved decision making+ Perform DCA and production forecast+ Perform Production Performance Comparison and Benchmark.+ Build flexible workflows by combining industry-standard and user.

Rate Transient Analysis

• Flowing Material Balance Method.• Production Data analysis of hydraulically fractured & horizontal wells.• Perform production data analysis using software.

Advanced Pressure Transient Analysis

Waterflooding Design & Optimization

¢ Learn step-by-step how to design waterflood projects.      • Data requirements and timing to start water injection      • Methods to control water injection volumes and pattern balancing      • How to estimate expected incremental oil recovery, using various analytical methods such as;Buckley-Leverett, Dykstra-Parsons, and Stiles methods – Class problems➢ How to monitor the performance of waterflood project to achieve the highest oil recovery, including:      • Pressure history and Voidage Replacement Ratio’s (VRR’s) calculations.      • How to evaluate injected water quality and to select proper water filter size      • How to use conformance plots to evaluate performance and make waterflood designadjustments to improve performance      • Use the Hall Plot and PLT to propose workovers for production optimization – class problem      • A review of a unique water injection problem for a formation expending a check valve effect!!      • The review and revise water injection pattern, if necessary➢ Myths of waterflooding Patterns

Advanced Well Intervention Operations

njection capacity. List and describe the equipment and operational concepts involved in coiled tubing and hydraulic workover units. know the well control barrier principles Identify three barriers methodology during well intervention Know well control barrier classification for different type of well intervention method. Describe the mechanisms of a slick wireline operation. List and describe the commonly used downhole wireline equipment and tools. List and describe the surface wireline equipment requirements; lubricator; BOP; stuffing box. Describe well pressure control and safety issues associated with wireline. learn procedures and equipment used in wireline, coiled tubing, and workover

Introduction to Machine Learning for Geoscientists

andard practices for workflows to build ML models, e.g. train-validate-test split Learn how to build simple to gradient boosting to neural network models. Disciplines that will benefit from the course are Geologists, Geophysicists, petrophysicists, and static reservoir modellers. Both seismic and well data will be provided by the instructor from open sources. The course will be structured as a practical workshop, where the attendees will be able to follow along by applying the same cells in the jupyter lab notebooks supplied. The course will cover a crash course in python programming language. A sample segy 3D will be worked on to develop an unsupervised model. This might be of interest to geophysicists. A sample set of wells will be worked on to develop a supervised regression/classification model. This might be of interest to petrophysicists and geologists and reservoir modellers.

Practical Reservoir Simulation Part 1

onï‚· Structural frameworkï‚· Reservoir model designï‚· Structural compartments: fault geometryï‚· Reservoir architecture: facies model ï‚· Depletion strategyï‚· Development strategy ï‚· Simulation grid modificationsï‚· History matching workflowï‚· Multiple scenarios, realizations, and rankingï‚· Screen alternative production strategiesï‚· Sensitivity and uncertainty analysis ï‚· Simulation grid propertiesï‚· Dynamic modelling

Nodal Analysis Well Modeling *PRERECORDED*

weight: 400;">Reservoir fluids description, different methods of building fluid model, PVT concept and usage. Concept of single phase and multiphase flow through reservoirs. Different IPR reservoir models and how to be used. How to apply more inflow modelling options “Multi-layer reservoirs, Relative permeability, sand failure and compaction permeability model”. Concept of single phase and multiphase flow in pipes. Different VLP correlations and how it will be used to calculate the relation between the fluid flow rate and the pressure loss in pipes. Concept of single phase and multiphase flow in chokes and the meaning of sonic and subsonic flow through chokes. How to build and validate a complete well model for NF wells. How to match the NF well model and how to perform sensitivities. How to evaluate the well performance under any condition. How to build and validate well model for AL wells (GL and ESP) How to match the AL well model (GL and ESP), and how to perform sensitivities. How to use the quick look option to check and diagnose the performance of the AL systems (GL and ESP). How to perform design for the GL and ESP using a well modelling application.

Material Balance practice

br /> 2. Monte Carlo Simulation 3. Alternative method: Deterministic Method Day Three:- Decline curve tool: DCA, Why? DCA Types; and Arps Restrictions. Case studies: 7 cases. Some Tips, Tricks and Traps. Day Four:- 1D Model tool: 1D Model Applications. Case studies: 2 cases. Reservoir allocation tool: Allocation meaning. Why allocation. Case studies: 2 cases.   Day Five:- Tight gas tool: Applications. Case study

Process Simulation

ame basic understanding of the steps and tools used to build a HYSYS simulation.-After building one of these tutorial cases, you might choose to build one or several more, or begin creatingyour own simulations.

Petroleum Economics

br />Day Four• Module4:Time Value• Module5:Economic indicators• Exercise Day Five• Module6:Advanced topics

Oil Field Data Management Part 1

injection monitoring and surveillance+ Pattern analysis for waterflood optimization+ Perform Well and completion performance analysis and diagnostics+ Production forecasting for field- or well-level analysis+ Performance benchmarking and vintage analysis+ Build an interactive dashboard for improved decision making+ Perform DCA and production forecast+ Perform Production Performance Comparison and Benchmark.+ Build flexible workflows by combining industry-standard and user.

PLT Principles Part 1

PNL tool. Day#3 Integration of Spinner Reading and Fluid Identification Devices Reading to get Flow Profile. Introduction to Emeraude. Day#4 Emeraude Solution Methodology. Basic Emeraude Conventional Workflow. Day#5 Basic Concepts of Oil-Water Flow. Single Phase Interpretation in Emeraude. Two-Phase Interpretation in Emeraude. Day#6 Basic Concepts of 3-phase Flow. Three-Phase Interpretation in Emeraude. Day#7 Challenges in horizontal and highly deviated wells. Deployment methods in horizontal and highly deviated wells. Advance PLT sensors. Advanced PLT interpretation. Day#8 Basic Emeraude Advanced Workflow. FSI interpretation in Emeraude. Day#9 Case Studies and major Challenges in Interpretation. Day#10 Case Studies and major Challenges in Interpretation.

Advanced Pressure Transient Analysis