workflow

The carbonate reservoirs research group at Oklahoma State University uses an integrated approach to research projects and strives to create a collaborative environment. Our approach to assessing and characterizing carbonate systems is done through a variety of theses and dissertations which include core and outcrop studies, modeling projects, wireline logs, petrophysics, diagenetic overprint and history, and characterizing depositional environments. 

Each research project done in the group focuses on several aspects of our integrated research workflow shown here on the left. Current projects in the group include a core and wireline log subsurface study of the Mississippian Limestone, utilizing artificial neural networks and clustering methods to predict cores based on wireline log signatures to enhance subsurface modeling, fracture characterization in the Mississippian Limestone, pore system analysis on carbonate mudrocks using NMR, and outcrop studies in the Pipe Creek Jr quarry in Indiana to assess reef slopes, diagenesis, and reservoir potential. 

 

Student Presentations <---Click here to see some of our recent work at conferences

Some of the methods and software currently being used by students in the lab group include:

  • Core and slabbed samples
  • Outcrop and fieldwork
  • Thin section petrography
  • Image Analysis of Thin Sections
  • DJI Inspire 1 Pro Drone (Drone photography)
  • Digital Outcrop modeling with Agisoft Photoscan Software
  • GigaPan Epic Pro for high resolution outcrop images
  • Machine Learning: Artificial Neural Networks, K-Means Cluster, K-Nearest Neighbor
  • Ion Mill
  • Nuclear Magnetic Resonance Spectroscopy (NMR)
  • Optical Cathodluminescence
  • Scanning Electron Microscopy (SEM)
  • Micro-CT Scanning
  • Porosimeter
  • Permeameter
  • Nitrogen Adsorption Equipment
  • Focused Ion Beam SEM
  • Confocal Microscopy
  • Core descriptions
  • Petrel
  • Petra
  • Petroscope
  • IBM SPSS Statistics Software
  • Adobe Illustrator
  • Adobe Photoshop
  • Microsoft Excel
  • Microsoft PowerPoint

Lab photos