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 Mark
Layne, Ph.D., P.E.
Director of Technology
Petroleum Engineer
Dr. Layne
earned his Bachelors of Science, Masters
of Science, and Doctorate in Petroleum Engineering
from the University of Missouri-Rolla (UMR).
He serves as the Director of Technology
for ALL-LLC and is experienced with a broad
range of information solution approaches.
Prior to beginning ALL-LLC,
Dr. Layne served as a Senior Technology
Provider for a large international consulting
firm. His experience has included
serving as the Data Manager for large data
collection and management projects involving
environmental and oil & gas data.
His experience has ranged from analyzing
pressure transient tests for injection well
projects to developing custom information
systems for public and private sector clients.
Dr. Layne has been responsible for technically
spearheading information system projects
for Chevron, the Department of Defense,
the City of Sapulpa, the Ground Water Protection
Council, the Montana Board of Oil &
Gas Conservation, the Michigan Geological
Survey, he Arkansas Oil & Gas Commission,
and others.
Dr. Layne serves as a lead
developer with respect to ALL-LLC's efforts
on Risk Based Data Management System (RBDMS)
projects and has been involved to a significant
extent in implementation of RBDMS in several
states, including Michigan, Arkansas, Alabama,
Mississippi, Utah, Nebraska, Oklahoma, Kansas,
Ohio, and Montana. He is the lead
developer of ALL-LLC's Zone of Endangering
Influence (ZOEI) and Area of Review Variance
Questionnaire (AorVarQ) programs and the
Java interface for RBDMS currently being
testing in Montana.
As a former researcher with
the University of Missouri-Rolla, he was
involved in the American Petroleum Institute
(API) project related to studying Area of
Review (AOR) and AOR variance methodologies
in the Permian Basin and San Juan basins.
Prior to completing his Dissertation work,
he was extensively involved in the development
of well test analysis programs, well analysis
programs, and computer-based reservoir engineering
models.
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