Eric Eslinger
Email address: [email protected]


10 Sussex Road
Glenmont,  NY 12077
United States
Phone: 518-439-8447
Fax: 518-439-8582
42° 36' 18.72" N73° 46' 11.622" W
New York US 

Software Title: 
GAMLS (Geologic Analysis via Maximum Likelihood System)

Interactive, multi-modular system focusing on lithology-based analysis and integration of well logs and core data but with additional complementary and integrated modules (see below). Basic module is BASIC.  Within this module, well and core data is imported, plotted, QCd, and filtered.  MVCA (Multi-Variate Clustering Analysis) is the basis for delineating facies (rock types) and most downstream work.  Clustering (any number of variables, clusters, wells, datasets) is achieved via a model-based maximum likelihood system which probabilistically assigns each sample to each cluster. Estimated values replace any null values during clustering. After clustering, the "model cluster" can be used to predict missing variables (e.g., non-logged or "bad hole" intervals, permeability in non-cored intervals or wells … ). Single-well or multi-well clustering and prediction and batch analysis options. Additional routines within BASIC include core-to-log depth correction; MD-to-TVD; ModeAssign (expert system for identifying rock types; Rock Fluids (modeling); bed-thickness filtering (curve blocking); and HCQL (HydroCarbon Quick Look).  Additional modules are:
MFBG (Matrix and Fluid Balance modeling using GAMLS): mineralogy-based forward modeling of porosity, fluid saturation, plus other parameters; includes a routine for converting elemental spectroscopy log data to minerals.
UPSCALE: upscaling and grid-building
SDC (Seismic Depth Calibration):  adjusts a previously imposed seismic time-to-depth velocity model so that seismic markers tie with well log tops; the method relies on rigorous velocity modeling which uses variable velocities within each zone; resulting well-based scaling factors are used to adjust seismic velocities throughout a 3D volume 
LVP (Lithology-based Velocity and pore Pressure modeling):  models overburden bulk rock, fluid density, and stress above logged interval and leverages MVCA clustering analysis within logged interval to develop velocity profile which provides critical input to pore pressure modeling
CUSP (Clustering and Upscaling of Saturation-dependent Properties): characterization and upscaling of petrophysical properties at the core plug scale (Petrotype) to the well-log scale (Electrotype), then to geomodeling scale, and ultimately to simulation scale; Pc data is used as a key core-plug property; saturation profiles are developed for individual samples and for representative profiles for each Petrotype and Electrotype
SEIS: clustering of seismic attributes
Available on request.  Free or nominal cost to educational entities.
Operating Systems:
Windows XP, Windows 7, Windows 8