Plus a Gas-Bearing Shale Case Study

Log Analysis of Shaly Sand Reservoirs

5 March 2015
Houston, Texas, United States
Who Should Attend
This course is for geologists, geophysicists, engineers and other geoscientists who need to understand how seismic attributes are being used to map reservoir quality and evaluate completion quality in unconventional resource plays.

By the end of the course participants should be able to:

  • Make a ‘quick-look’ evaluation of seismic profiles for probable exploration targets within passive margin, cratonic basin, forearc and growth-fault systems.
  • Select the most appropriate ‘preliminary’ depositional model as an interpretation template for seismic analysis.
  • Plan an interpretation strategy to optimize identification of deep-water sand systems including channel, channel-complex, lobe and sheet facies.
  • Identify reservoir connectivity issues for channel-complexes and sheet-sands and outline a strategy for testing predicted connectivity.
  • Identify the most critical issues of play-risk for each depositional element of deep-water sand systems.
Course Content

Seismic attributes are routinely used to map seismic geomorphology and reservoir quality. With the more recent focus on unconventional resource plays, seismic attributes are also being used to evaluate completion quality. Geometric attributes such as coherence and curvature are invaluable in identifying geohazards from 3D seismic data. Curvature and reflector rotation are direct measures of strain, which along with thickness and lithology control the location and intensity of natural fractures. Prestack inversion for Young’s modulus and Poisson’s ratio (or equivalently for λρ and µρ) can be used (when calibrated against core and ECS logs) to estimate TOC and “brittleness”. A more quantitative estimate of brittleness and completion quality requires the use of microseismic and production log data. Velocity and amplitude anisotropy, calibrated against image logs and microseismic data provide measurements of open natural fractures and the present day direction of maximum horizontal stress that can be used to guide the placement of lateral wells.

Much of today’s resource play drilling activity focuses on evaluating properties and holding acreage. As resource plays mature, we will want to identify bypassed pay and evaluate the benefits of restimulation. Even with access to such modern data, geology, and hence seismic data and seismic attributes are only one of the components necessary to predict EUR.

Attributes are only as good as the data that goes into them. For this reason, we will also address components of seismic acquisition, reprocessing, and data conditioning. We will review a sufficient amount of theory for inversion, bandwidth extension, cluster analysis, and neural networks to elicit the implicit assumptions made using this these technologies. Advanced knowledge of seismic theory is not required; this course focuses on understanding and practice.

Concepts and algorithm description will be general, but workflows will be illustrated through application to the Barnett Shale, Woodford Shale, and Mississippi Lime resource plays.

Course Outline
  • Spectral decomposition: A very brief overview of spectral decomposition, which is commonly used in conjunction with elastic inversion attributes to break out lithofacies. I will also summarize assumptions made in bandwidth extension, and Q estimation.
  • Geometric attributes: A summary of volumetric coherence, amplitude and structural curvature, reflector shapes, lineaments, reflector rotation and convergence
  • Seismic Data conditioning: Poststack footprint suppression and prestack data conditioning for inversion and anisotropy analysis
  • Attribute prediction of fractures and stress: Use of curvature, impedance, and seismic anisotropy to natural fractures
  • Inversion for acoustic and elastic impedance: A hierarchal overview of inversion - emphasizing the assumptions and interpreter input to each process. If the audience is intimate with inversion, this part will be greatly compressed
  • Interactive multiattribute analysis: Review of multiattribute display, crossplotting, and geobodies
  • Statistical multiattribute analysis: Fundamentals of geostatistics, including colocated cokriging
  • Unsupervised multiattribute classification: Clustering algorithms including k-means, self-organizing maps (e.g. Stratimagic's "waveform classification") and generative topographic maps
  • Supervised multiattribute classification: A simple overview of neural networks
  • Attributes and hydraulic fracturing of shale reservoirs: Review of microseismic method and the relationship of microseismic events to surface seismic measurements
  • Attribute applications to the Mississippi Lime: Recent work in mapping the unconventional Mississippi Lime play in OK and KS

Course notes will be provided in digital format on USB flash drive only, so electronic devices with a USB port are required for all courses. If you do not have access to an electronic device with a USB port, please contact the AAPG Education Dept. for an alternate method to download the digital course notes.

Houston, TX - Norris Conference Center - CityCentre
Houston, TX - Norris Conference Center - CityCentre
816 Town & Country Lane, Suite 210
Houston Texas 77024
United States
(713) 590-0950
50 people
Compare to the Whole Conference Pricing
Expires on
01 November, 2014
Member Tuition
Expires on
06 March, 2015
Nonmember Tuition

Last date for cancellation with a refund is February 2, 2015. No refunds AFTER February 2, 2015. Five-day full-week badges can be transferred to a friend or colleague if you can’t attend all week. Courses also individually priced if you can’t come for the full week.

Scholarship assistance for laid-off workers may be available.  Email the AAPG Education Dept. for details.


Creties Creties Jenkins Rose and Associates, Houston, TX USA
Lesli Lesli Wood Colorado School of Mines, Golden, CO
Ernest Ernest Mancini Department of Geological Sciences, University of Alabama
Donald Donald Herron Independent Geophysical Consultant
Robert C. Robert C. Wegner Rice University, Houston, Texas, USA
Dana S. Dana S. Ulmer-Scholle Scholle Petrographic LLC
Peter A. Peter A. Scholle Scholle Petrographic LLC
Kurt J. Kurt J. Marfurt ConocoPhillips School of Geology and Geophysics, University of Oklahoma, Norman, Oklahoma, USA
John M. John M. Armentrout Cascade Stratigraphic Inc.
Art Art Saller Cobalt International Energy, Houston, Texas, USA
Christopher D. Christopher D. Laughrey Weatherford Laboratories, Golden, Colorado, USA
George B. George B. Asquith Texas Tech University, Lubbock, Texas, USA
Fred Fred Hilterman Geokinetics Data Processing, Houston, Texas, USA
Debbi Debbi Boonstra Education Manager +1 918 560-2630

Comments (0)


What Can I Do?

Registration Form

AAPG Non-endorsement Policy

The American Association of Petroleum Geologists (AAPG) does not endorse or recommend any products and services that may be cited, used or discussed in AAPG publications or in presentations at events associated with AAPG.