DRILLING OPTIMIZATION
Course Description
This course is intended to train senior engineers in the identification, application and implementation of drilling optimization techniques. The intent is that participants in this class should satisfy some of the requirements for Well Engineering, Drilling Fluid Engineering and Well Construction Engineering.
The Training Course Will Highlight ?
Training Objective

By the end of this training course, participants will learn to:

  • Recognize the influence of drill string mechanics
  • Understand how to avoid drilling problems
  • Appreciate the environmental effects of drilling activities
  • Implement techniques to control non-productive time
  • Effectively identify and monitor key performance Indicators (KPI)
  • Implement real time management of well construction and optimization

Target Audience

This CDGA training course is designed for all professionals working in the field of well engineering, oil and gas exploration, geology and reservoir modelling.

It is also quite beneficial for other people involved in the upstream oil production as it shows the interdependence of the data between the departments.

This CDGA training course is suitable to a wide range of professionals but will greatly benefit: 

  • Reservoir Engineers
  • Petroleum Engineers
  • Risk Managers
  • Drilling Managers
  • Field Service and Related Operations
  • Company Men
  • Tool Pushers
  • Drillers

Training Methods

Daily Agenda

Define Concept

Compare to other goals and objectives of well drilling and construction

Overview of various areas where we have control over the well construction process:

  • Type of well
  • Accurately define well objective(s) and service life
  • Identify mandatory and optional elements of well design

Hole diameter

Pressure capacity

Well inclination with the reservoir/target

Casing/hole diameter clearance

Casing or liner?

Mud type/rock interaction

Logistics issues (storehouse, quality assurance, property protection, etc.)

  • Well location
  • Spud/Completion deadlines
  • Data requirements (also level of accuracy needed)
  • Contract and agreement terms

Overview of various areas where we do not have control

  • Weather
  • Regulatory restrictions
  • Company policies and procedures
  • Legal requirements
  • Location (sometimes)
  • Etc.

Overview of statistical analysis

  • Probability
  • Mean distribution
  • Standard deviation
  • Determinist

Theory of risk, elements, control methods, measurement or evaluation of risk

  • Methods of data collection and data management
  • Importance of accurate reporting

Identification of Key Performance Indicators (KPI)

  • Techniques to identify KPIs
  • Quality assurance of measurements and data
  • Range of error or accuracy of measurement of KPI

Common KPI

  • Time based
  • Progress based
  • Cost based
  • Event based

Benchmarking

  • How is benchmarking performed
  • Accuracy or reliability of benchmarks

Technical limits and quantum change in limits

  • Methods to define technical limits
  • How do we know this is the current technical limit?

Mechanical Earth Model (MEM)

  • Elements of MEM
  • Example MEM (to be used in later exercises)

Real time management of well construction performance

  • Monitoring
  • Management
  • Comparison with predicted
  • Alarms
  • Revision of predicted performance

Typical drilling plan prior to optimization

  • Discussion of this typical drilling plan

Elements missing

Elements poorly or inaccurately quantified

Elements not critical or needed in plan

Optimization Elements

  1. LWD/MWD
  2. ECD
  3. Hole cleaning monitoring
  4. Torque and drag
  5. Stuck pipe prevention
  6. Drill String Design
  7. Objective of optimal drill string/BHA design
  8. Tools to optimize design
  9. Bit selection
  10. Use of MEM
  11. ROP and bit run prediction

Optimization Elements

  1. Operation Planning
  2. Critical path issues
  3. Non-critical path issues
  4. Drilling Fluid
  5. Environmental constraints
  6. Wellbore stability
  7. Cuttings protection
  8. Fluid management

Optimization Process

  1. Software tools
  2. Lessons learned
  3. Task analysis

Workshop putting it all together

  1. Using real data provided by Petronas and proposed well (fictional well proposal):
  2. Organize data into useful format.
  3. Extract information from data set to use and define technical limits of various phases of well construction.
  4. Decide on KPIs.
  5. Identify Lessons Learned from data set.
  6. Identify contingencies requiring pre-planning.
  7. Create time schedule of well (time/depth curve, identify major timeline events and planning decision Points).
Accreditation

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.

Quick Enquiry

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Course Rounds : (5 -Days)


Code Date Venue Fees Register
DE227-01 20-01-2025 London USD 6950
DE227-02 06-07-2025 Cairo USD 5450
DE227-03 05-10-2025 Dubai USD 5450
DE227-04 14-12-2025 Dubai USD 5450
Prices doesn't include VAT

UpComing Date


Details
  • Start date 20-01-2025
  • End date 24-01-2025

Venue
  • Country United Kingdom
  • Venue London

Quality Policy

 Providing services with a high quality that are satisfying the requirements
 Appling the specifications and legalizations to ensure the quality of service.
 Best utilization of resources for continually improving the business activities.

Technical Team

CDGA keen to selects highly technical instructors based on professional field experience

Strengths and capabilities

Since CDGA was established, it considered a training partner for world class oil & gas institution

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