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CURSOS

Integration of Rock, Log, Test and Seismic Data

James J. Willis, Ph.D., P.G
Descripción del instructor

Career Goal: To enhance the exploitation of hydrocarbons and other minerals through prospect and field development and evaluation, consulting, research, and/or educating others toward that purpose. Primary areas of expertise include structural geology and its stratigraphic interaction, log analysis and petrophysics, qualitative and quantitative geoscience, and geophysical interpretation. Education: 1991-1993 Doctor of Philosophy in Geology, Baylor University, Waco, Texas. GPA: 4.0. 1989-1990 Master of Science in Geology, University of Southwestern Louisiana, Lafayette, Louisiana. GPA: 4.0. 1989 Advanced Geologic Field Course, Iowa State University of Science and Technology, Ames, Iowa. GPA: 4.0. 1985-1989 Bachelor of Science in Geology summa cum laude, University of Southwestern Louisiana, Lafayette, Louisiana. Top ranking student of graduating class. GPA: 4.0. Publications & Presentations: Authored or co-authored about 60 scientific papers and abstracts, including in the American Association of Petroleum Geologists Bulletin, Journal of Geophysical Research, University of Arizona Space Science Series, Geophysical Research Letters, Icarus, and Gulf Coast Association of Geological Societies Transactions.

In-House

Compartir:
Fecha indefinida

ABOUT COURSE

 

During the exploration and development stages, understanding the subsurface geometry, incorporating both structural and stratigraphic framework, and characterization of the reservoir is essential to understanding the 4D development of petroleum system.  The seismic and well log datasets represent the cornerstone of information extraction in oil and gas exploration/development, and it becomes critical that these datasets are properly integrated.  In addition, integration of core (whole or sidewall), cuttings, and formation test data (LWD, wireline, pressure transient, etc.) allows for additional constraining of critical components for reservoir evaluation and characterizations.  We focus here on the fundamental principles and methodologies of accurately extracting critical data and information transfer. 

 

This course is practically based, including integrating multiple datasets, quick-look and advanced techniques for critically analyzing/reviewing key calculations and maps (including your own and those of others), and benefits/drawbacks of modern computing.  No one dataset provides the “ground truth” but rather when properly used can help constrain an interpretation, be it exploratory subsurface mapping to detailed reservoir characterization.

 

Numerous exercises supplement primary lectures for extensive interactive, hands-on experience.

 

Course is designed from an applied standpoint, with numerous examples, case studies, and hands-on exercises from the petroleum industry

 

 

COURSE OBJECTIVE

  • Understand the fundamentals of key datasets, including well log, core and cuttings, seismic, and formation fluid test data
  • Understand techniques of data integration, including depth synchronization, upscaling/downscaling, etc.
  • Understand pitfalls of individual datasets, and how inclusion of other datasets can help constrain uncertainty

 

 

WHO SHOULD ATTEND

Geologists, Geophysicists, Exploration/Production Managers, and Reservoir Engineers.

 

 

COURSE CONTENT

 

1. GENERAL REVIEW OF AND INTEGRATION OF VARIOUS DATA TYPES (WELL AND SEISMIC, AND OTHER DATA TYPES)

  • The “need” for sound subsurface mapping and reservoir characterization.
  • Case examples of integrated subsurface studies.

 

2. WELL LOG ANALYSIS, INCLUDING LOG TYPES, CORRELATION OF WELL LOGS, AND EXTRACTION OF RELEVANT SUBSURFACE AND RESERVOIR DATA 

  • Brief review of key log types, including gamma ray, spontaneous potential, resistivity, porosity logs, and others.
  • Azimuthal (image) logs – wireline (FMI-type and ultrasonic) and LWD (e.g., gamma ray, density, caliper, resistivity, etc.); true dip, apparent dip, and relative dip; and structural and stratigraphic aspects.
  • Log correlation – Lithostratigraphic and chronostratigraphic correlation; correcting for dip and/or deviation effects; and structural and stratigraphic applications.
  • Data extraction – Depth, thickness (measured versus vertical versus perpendicular), net versus gross sand/carbonate, pay thickness, etc.
  • Reservoir characterization – Shale volume, porosity, water saturation, permeability, etc.

 

3. CUTTINGS ANALYSIS

  • Drilling mud – Types of mud, mud chemistry and additives (and affects on various data types, including log analysis), volume control, tracers and lag time, and borehole fluid circulation and pressure.
  • Flowline gas detection and analysis – Historical and modern components and techniques of flowline gas analysis, background gas, trip/connection gas, and formation gas, and chemical analysis for hydrocarbon typing and reservoir characterization.
  • Cuttings sampling and analysis – Sampling techniques and protocols, including sample catching, handling, and curing, cuttings types and where they came from, e.g., bit-derived cuttings versus washout/breakout cavings, ineralogical and lithological tests, cuttings testing for hydrocarbons, including fluorescence, direct hydrocarbon sampling, total organic carbon, etc., and clay maturity/compaction for geopressure analysis.
  • Micropaleontology and nannopaleontology – Extraction of micro- and nannofossils from mud cuttings, major types, including foraminifera, conodonts, etc., and biostratigraphic analysis.
  • Real-time formation evaluation – lithologic typing and stratigraphic determination, and biosteering and chemosteering operations as an additional constraint or even alternative to log-based steering operations.
  • Integrated geopressure/geomechanical analysis – Drilling parameters and integration with mud log data, pore pressure prediction, from pre-drill to while drilling to post-drill analysis, and drilling optimization.

 

4. CORE ANALYSIS

  • Core acquisition, including bit and barrel types, whole rock versus conventional, “coring while logging” (retrievable centralized    bit), handling techniques, including mud doping, on-rig measurements, and laboratory measurements.
  • Standard core analysis – Porosity, permeability, lithologic, and fluid saturation determinations.
  • Petrographic and mineralogic Investigation – Petrographic (thin-section) analysis, X-ray and UV fluorescence, X-ray diffraction, scanning electron microscopy, including x-ray dispersion, and cathodoluminescence.
  • Multi-sensor core logging – Core logging techniques (gamma density, resistivity, gamma ray, magnetic susceptibility, etc.) and integration to standard (e.g., wireline or LWD) logs.
  • Special core analysis (SCAL) techniques – Capillary pressures, wettability, fluid distribution, relative permeability, rock mechanics techniques, including stress/strain relations, core expansion and stress/strain anisotropy, failure tests, etc., and fluid sampling techniques, including testing for mud contamination

 

5. SEISMIC ANALYSIS, INCLUDING 3D, TIME-LAPSE AND ATTRIBUTE ANALYSIS 

  • Brief review of principles of reflection seismology – Elastic properties, wave theory and propagation, acquisition, processing, etc.
  • 2D versus 3D (and 4D time-lapse) interpretation/mapping concepts – General aspects, slicing techniques (vertical, time/depth, horizon, stratal, phase), phase variations, manual vs. automated (horizon and fault mapping), surface vs. volumetric interpretation, etc.
  • Attribute analysis and AVO – Enhanced structural and stratigraphic mapping, seismic petrophysics, and hydrocarbon indicators and mapping.

 

6. FORMATION TESTING  

  • Drill stem testing – reservoir-scale fluid pressure and mobility, fluid return, and flow dynamics.
  • Wireline and LWD formation testing – local-scale fluid extraction, downhole chemical analysis, sample return, mobility, and flow dynamics.
  • Pressure transient analysis – reservoir communication or compartmentalization, production profiles, etc.

 

7. DATASET SYNCHRONIZATION 

  • Data conditioning, including upscaling/downscaling.
  • Log/core/cuttings synchronization – lag determination (well logs and cuttings), logging the cuttings and core for tie to standard logs, orienting core through azimuthal logs, etc.
  • Synthetic seismograms – Generation of synthetic seismograms, apparent dip correction to improve visual tie, and drawbacks, including wavelet type, phase variations, etc.
  • Seismic inversion techniques – Post-stack versus pre-stack inversion techniques, deterministic versus stochastic inversion, wavelet estimation, and transfer from interface domain to layer domain (geophysics to geology).

 

8. PITFALLS AND DIFFERENCES BETWEEN DATASETS 

  • Resolution variations (lateral and vertical)
  • Scaling variations (e.g., reservoir-scale drill stem test versus local-scale formation test versus laboratory-scale core test)
  • Time to depth conversion (both seismic and well log data are acquired in time and must be converted to depth)
  • Phase wandering on seismic data (pre-stack and post-stack domains) and issues with tie to well data
  • Elastic properties, including velocity, vary with frequency (seismic, well log, and core ultrasonic data are acquired using different frequencies)

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