Smart Well Drilling and Completion: Horizontal Wells and Integrity Concern
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Smart Well Drilling and Completion: Horizontal Wells and Integrity Concern Course
Introduction:
In this course, participants will be introduced to the fundamental principles of drilling and completion operations, including post-completion enhancement techniques such as workovers. Through this course, attendees will develop the ability to visualize subsurface activities, understand the potential outcomes, and grasp how drilling and completion processes can impact reservoir performance. Additionally, participants will gain effective communication skills to engage with both drilling and production personnel.
Course Objectives:
By the end of this course, participants will learn to:
- The advantages and disadvantages of early and modern types of drilling styles
- Rig type classification and selection for onshore and offshore drilling
- Types of platforms and techniques used for offshore rigs
- The purpose and function of non-vertical drilling, including directional and horizontal drilling
- The components of a drilling system
- The components of a drilling rig
- The drilling systems of a rig
- The purpose and function of the rotating system
- Drilling fluid properties and function
- Purpose and function of blowout preventers
- Purpose of casing and cementing
- Purpose and function of the wellhead
- Overview of different types of well completions
- Formation damage
- Methods of well perforation
- Sand production problems and control strategies in reservoirs
- Common well stimulation strategies
Who Should Attend?
Technical, field, service, support, and supervisory personnel desiring to gain an awareness of wellbore operations. Excellent for cross-training of other technical disciplines such as reservoir and facility engineers, geoscientists, supervisors, service personnel, and anyone who interacts with drilling, completion or workover engineers.
Course Outlines:
Statistical Analysis and Probability Theory
- Describing Data with Numbers
- Probability and Displaying Data with Graphs
- Random Variables, Probability Density Function (pdf)
- Expectation and Variance
- Bivariate Data Analysis
- Sample case: preparing a well log plot and identifying the correlation
Descriptive Geostatistics
- Geologic constraints
- Univariate distribution and Multi-variate distribution
- Gaussian random variables
- Random processes in function spaces
- Geostatistical Mapping Concepts
- Structural Modeling
- Cell-Based Facies Modeling
- Sample case: Analytical interpretation of centrifuge data to determine the relative permeability curve
Modeling Uncertainty
- Sources of Uncertainty
- Deterministic Modeling
- Models of Uncertainty
- Model and Data Relationship
- Model Verification and Model Complexity
- Sample case: Reservoir Modeling
- Creating Data Sets Using Models
- Parameterization of Subgrid Variability
Quantifying Uncertainty
- Introduction to Monte Carlo methods
- Sampling-based on experimental design
- Gaussian simulation
- General sampling algorithms
- Simulation methods based on minimization
- Sample case: Monte Carlo method for determining oil and gas reserves
- Sample case: Multiwell systems calculation using Darcy’s law
Visualizing Uncertainty
- Distance Methods for Modeling Response Uncertainty
- K-means clustering
- Estimation using simple kriging
- Petrophysical Property Simulation
- Sample case: Oil reservoir uncertainty visualization
- Value of Information and the cost of data gathering