D003 Geological Interpretation of Well Logs (Distance Learning)

Event Facts

Date:
  • 8 Mar. 2021
  • 9 Mar. 2021
  • 10 Mar. 2021
  • 11 Mar. 2021
  • 12 Mar. 2021
  • 15 Mar. 2021
  • 16 Mar. 2021
  • 17 Mar. 2021
  • 18 Mar. 2021
  • 19 Mar. 2021
Times:
Courses consist of a series of 2-3 hour webinar sessions starting at 14:00 London and 08:00 Houston time. Any variation to this will be communicated in the courses joining instructions
Event Code:
D003a21VC
Sessions:
10 sessions
Instructors:
Jenny Garnham
Location:
Virtual
Booking Status:
Good Availability
Fee:
GBP £3,575 (Exclusive of tax)
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Course Facts

Course Code:
D003
Duration:
5 days
Type:
Virtual Classroom
CEU:
4.0 Continuing Education Units
PDH:
40 Professional Development Hours
Certificate:
Certificate Issued Upon Completion

Summary

Business Impact: The ultimate objectives of this course are to be able to use sets of well logs to establish robust correlation schemes, guide well placement and derive property inputs for geological modelling. These skills will enable participants to reduce risk, understand uncertainty, improve success rates, and reduce costs throughout the E&P life cycle.

This course is an introduction to the principles and applications of conventional well logs. It shows how combinations of logs can be used to interpret mineralogy, lithology, facies, depositional environments and key sequence stratigraphic markers such as flooding surfaces. Sessions start by considering the individual measurements but as the course progresses there is an increasing emphasis on combinations of measurements and the trends with depth. The climax of the course is an exercise to produce a robust correlation scheme using data from three wells. The correlation scheme is then used to choose the location for a fourth well designed to intersect the best developed reservoir.

Duration and Training Method

A virtual classroom course divided into 10 webinar sessions (equivalent to a five-day classroom course), comprising lectures, discussion, case studies, and practical exercises to be completed by participants during and between sessions.

Participants receive a complete set of digital lecture notes and a digital copy of the text book “Geological Interpretation of Well Logs” by Malcolm Rider and Martin Kennedy.

Participants will learn how to:

  1. Differentiate the functions, physical principles, and limitations of logging tools used in a standard logging suite and their applications for geological interpretation.
  2. Understand the differences between logs acquired using wireline conveyance and logs acquired whilst drilling.
  3. Use well logs to determine lithologies, interpret facies, and identify stratigraphic and structural features.
  4. Interpret well logs and cores, integrated with other available data, to produce a coherent geological evaluation.
  5. Correlate between wells using well logs, incorporating other available down-hole data.
  6. Analyse the interpretation patterns of dipmeter and imaging tools to indicate structural and stratigraphic features.
  7. Determine shale volume, porosity, and water saturation from well logs.

In this class, each individual logging tool is described in terms of basic functions, physical principles and geological interpretation. Log data is then used as a complementary set for lithology interpretation, facies recognition, log sequence analysis and correlation. The following timetable is intended as a guide only and may vary depending on the instructor and experience of the class.

Session 01:

  • Introduction
  • Impact of Logging
  • Environment and Deployment
  • Depth Shifting Exercise
  • Log Summary Exercise

Session 02:

  • Gamma and Spectral Gamma Ray Theory and Usage
  • Understanding Caliper
  • Worksession: Caliper and Gamma Ray
  • Worksession: Spectral Gamma Ray

Session 03:

  • Resistivity Logs
  • SP Logs
  • Worksession: Resistivity Profiles

Session 04:

  • Traditional Sonic Logging
  • Well Tying and Modern Sonic Logs
  • Worksession: Sonic Conversion

Session 05:

  • Density Logs
  • Worksession: Shale Density
  • Neutron Logs
  • Density Neutron Combination
Session 06:
  • Integrating Lithology
  • Worksession: Lithology Log
  • Introduction to NMR

Session 07:

  • Dipmeter
  • Image Logs
  • Worksession: Image logs

Session 08:

  • Core Photo and Logs
  • Facies and Sequences from Logs
  • Worksession: Sequence Analysis  

Session 09:

  • Stratigraphy and Correlation with Logs
  • Worksession: Correlation of 3 Wells

Session 10:

  • Basic Rock Property Evaluation
  • Worksession: Basic Petrophysical Workflow

Who should attend

This course best suits those beginning to acquaint themselves with logs or those who do not use logs all the time and need a refresher. The course is aimed primarily at inexperienced Geologists and Geophysicists, whether in exploration or exploitation, but is also good for experienced Technologists, Reservoir and Petroleum Engineers, and new-hire Petrophysicists.

Prerequisites and linking courses

The D003 course is considered essential for all geoscientists to attend, due to its nature and direct relevance to all key aspects of the Oil and Gas industry. There are no formal prerequisites for the class, however it is advantageous to have a basic knowledge of Geology and Petroleum Systems.

For an entry-level petrophysics class, see D083 (Introduction to Petrophysics and Reservoir Evaluation (Distance Learning)) and for a more petrophysical view of the interpretation of well logs, see course N121 (Modern Petrophysical Well Log Interpretation).

To build on the learnings of D003, it is recommended to follow with D517 (Well Log Sequence Stratigraphy for Exploration and Production (Distance Learning)), N451 (Practical Oil-Finders Guide to Siliciclastic Sequence Stratigraphy (Wyoming)), or N011 (High Resolution Sequence Stratigraphy: Reservoir Applications (Utah)). For those interested in carbonates, D073 (Integration of Sedimentology, Petrophysics and Seismic Interpretation for Exploration and Production of Carbonate Systems (Distance Learning)) would be a suitable follow-up class.

Jenny Garnham

Background
Jenny became an independent Petrophysical Consultant in 2002 and has since gained a wide range of experience consulting for operating companies (UK and worldwide), in addition to heading up the petrophysical discipline within AGR/Tracs consultancy. She has provided petrophysical support to a number of Field Development and Appraisal studies as well as planning and implementing core and logging operations on behalf of a number of small Operators. She is a co-leader for a number of ‘Open Air’ reservoir modelling training courses with TRACS training.

After graduation, Jenny joined Enterprise Oil in 1990 as a Petrophysicist working in London, gaining experience in Exploration and Appraisal, as well as equity redetermination. She moved to Aberdeen in 1997 to join the Nelson Field Development Team and ultimately managed data acquisition and evaluation of all the company’s operated developments.

Jenny became an instructor for Nautilus in 2007. She has co-instructed N095 and N033, and tutored N003, all of which are courses that draw upon her skills and knowledge of Geology, Reservoir Modelling, and Petrophysics. Her main fields of interest are reservoir characterisation, integrating descriptive and quantitative core data with logs (old and modern) as part of a reservoir modelling team. She has extensive knowledge of conventional clastic reservoirs (including most North Sea plays), but has also worked with carbonates, volcanic reservoirs, and tight gas. 

Affiliations and Accreditation
PhD Imperial College - Volcanology

Courses Taught
N003: Geological Interpretation of Well Logs
N033: Characterisation, Modelling, Simulation and Development Planning in Deepwater Clastic Reservoirs
N095: Integrating Core and Log Data for Reservoir Characterisation

Alternative Dates for this Course

Related Subjects

"One of the most effective classes I've taken. I feel excited to get back into my log data next week. In fact, after the first week I changed some things around and started looking at all my other logs and already made some helpful observations to some work in progress."