Petroleum / Reservoir Engineer
Resume:
Lane,
Ashwin
Lakshmi
Pasumarti
Email:
abhfxi@r.postjobfree.com
Houston,
Texas,
USA
77095
Mobile:
+1-
979-
204-
0900
Currently
on
EAD
card
/
OPT
To
obtain
a
full-
time
position
as
a
petroleum
engineer.
Please
refer
to
listed
projects
for
more
detailed
experience.
OBJECTIVE
May
2014
Overall:
4.0/4.0
Texas
A&M
University,
College
Station,
TX
EDUCATION
Master
of
Science
in
Petroleum
Engineering
Financed
100%
of
education
through
Research
Assistantship.
May
2011
Texas
A&M
University,
College
Station,
TX
Overall:
3.5/4.0
Bachelor
of
Science
in
Petroleum
Engineering
Major:
3.5/4.0
Minor:
4.0/4.0
Minor
in
Mathematics
Financed
70%
of
education
through
Scholarships
and
Awards.
CMG,
Matlab,
Ecrin,
Petrel,
Avizo
Suite,
S-
GeMS,
Fekete,
GeoGraphix
Suite,
Petroleum
Experts
–
IPM
Suite,
WellFlo,
SKILLS
SeisWorks,
Move,
Transform,
Surfer,
MS
Office,
@Risk,
Upscaling
Geologic
Models,
Geostatistics
Streamline
Simulation
Carbonate
Reservoirs,
Stratigraphy
COURSES
History
Matching
&
Reservoir
Simulation
Dynamic
Data
Integration
Reserves
and
Economics
Pressure/Rate
Transient
Testing
Seismic
Interpretation
Reservoir
Characterization
Petroleum
Engineer,
MicroSeismic
Inc.
–
Sudhendu
Kashikar
Present
EXPERIENCE
Analyzed
data
from
nearly
all
US
shale
basins
(Eagle
Ford,
Bakken,
Barnett
etc.)
for
major
and
independent
clients
•
(BP,
Chevron,
BHP
Billiton,
EOG,
Anadarko,
etc.)
Defended
lessons
learned
about
the
effectiveness
of
the
hydraulic
fracture
treatment
&
made
recommendations
•
for
future
treatments,
at
client
presentations.
Communicated
clients’
feedback
of
our
analysis
back
to
the
team
so
as
to
improve
our
products
&
offerings.
•
Collaborated
in
cross-
disciplinary
teams
consisting
of
geophysicists,
geologists
&
engineers
in
each
project.
•
Brainstormed
and
tested
new
ideas
for
data
mining
&
exploratory
data
analysis.
•
Developed
multiple
tools
to
automate
and
improve
the
accuracy
of
engineering
workflows.
•
Modeled
Discrete-
Fracture-
Networks
from
the
microseismic
response
for
dual-
porosity
reservoir
simulation.
•
Performed
3D
Geocellular
modeling
to
deduce
Stimulated
Rock
Volume
(SRV)
and
assess
depletion
in
the
reservoir.
•
Analyzed
treatments
for
vertical
and
lateral
fracture
growth,
and
to
extract
a
representative
system
permeability.
•
Graduate
Research
Assistant
–
Dr.
Michael
J.
King
/
Dr.
Datta-
Gupta
(MCERI)
2.5
years
Researched
the
application
of
unstructured
grids
and
node-
based
numerical
reservoir
simulators
for
geology-
driven
•
fluid
simulation
for
carbonate
systems,
in
MATLAB.
Used
streamline
simulation
concepts
(e.g.:
Diffusive
Time-
of-
Flight)
to
extract
rock
properties
from
μ-
CT
data.
•
Case
study
of
integrating
data
of
different
scales:
SEM,
μ-
CT
&
CT
scan,
and
Well-
Log
Data
on
an
analog
outcrop.
•
Explored
pressure
transient
and
rate
transient
applications
of
a
newly
formulated
well-
test
derivative
by
comparing
•
against
analytical
and
numerical
solutions
using
MATLAB,
ECRIN,
and
CMG.
Innovation
Group
Intern,
Quantum
Reservoir
Impact
–
David
Castinera
&
Sebastian
Matringe
Summer
2013
Researched
&
evaluated
industry
experiences
with
screening
criteria
for
each
Artificial
Lift
method’s
applicability
to
•
a
well.
(Jet
Pumps,
ESP,
PCP,
Gas
Lift
etc.)
Condensed
this
knowledge
into
a
MATLAB
tool
to
enable
engineers
to
automate
the
decision
making
process.
•
Created
a
Well-
Lift
modeling
toolbox
in
MATLAB
applicable
to
any
arbitrary
well-
profile
and
Black
Oil.
•
Production
Engineer
Intern,
Reliance
Industries
Limited
–
KG-
D6
Deepwater
Gas
Field
Summer
2010
Evaluated
build-
up
tests,
performed
nodal
analysis
and
studied
the
pressure
gradient
in
the
well
to
conclude
•
whether
or
not
WGR
has
started
to
increase
for
different
wells,
using
WELL-
FLO
and
MS
EXCEL.
Independently
designed
a
new
method:
modeling
the
WGR
as
a
blockage
proportional
to
a
blockage
(B)
factor.
•
Undergraduate
Teaching
Assistant
–
Dr.
David
Schechter,
PETE
321-
Formation
Evaluation
Spring
2011
Assisted
students
with
Well-
Log
Interpretation
and
Analysis
using
the
GEOGRAPHIX
SUITE.
•
Awarded
Graduate
Research
Assistantship
for
Masters
Program
at
TAMU.
’11
-
‘13
HONORS
Awarded
$2000
Concho
Resources
Scholarship
’10-
‘11
‘11
Awarded
$1300
–
Second
Place
in
Departmental
Student
Paper
Contest,
selected
to
represent
Texas
A&M
Awarded
$2000
Energy
Cup
Scholarship
by
Cordillera
Energy
Partners,
LLC
‘09-
‘10
Awarded
$3000
Henry
A.
Gilbert
Scholarship
by
Dept
of
Petroleum
Engineering
‘08-
‘09
10335
Sablebrook
Lane,
Ashwin
Lakshmi
Pasumarti
Email:
abhfxi@r.postjobfree.com
Houston,
Texas,
USA
77095
Mobile:
+1-
979-
204-
0900
Currently
on
EAD
card
/
OPT
Aspects
of
Dynamic
Data
Integration
&
History
Matching
under
Uncertainty
PROJECTS
Built
a
Matlab
Code
that
implemented
the
Ensemble
Kalman
Filter
(EnKF)
and
Markov
Chain
Monte
Carlo
(MCMC)
methods
to
history
match
on
Well-
data
using
a
set
of
Ensembles
generated
using
Geostatistical
principles.
Built
a
Matlab
Code
that
used
the
Bayesian
Framework
to
extract
the
Posterior
Distribution
with
its
MAP
estimate
and
ϵ-
indifference
region,
by
integrating
the
Likelihood
and
the
Prior
Data
Distributions.
This
was
applied
to
History
Matching
Well-
Test
Data
and
Bayesian
Estimation
in
Seismic
Inversion.
Seismic
Interpretation
using
Exxon
Mobil’s
Offshore
GoM,
South
Timbalier
54
3D
Seismic
Data
Gather/Set.
Meticulously
mapped
several
horizons
across
the
data
set
to
identify
the
Salt
Dome,
the
associated
Faults
along
with
their
offsets,
as
well
as
the
sedimentary
layers.
Constructed
Time-
Structure
Maps
and
Amplitude
Maps
to
identify
potential
Hydrocarbon
Zones
for
drilling.
This
was
performed
along
with
a
Literature
Survey
that
studied
the
geologic
setting
of
the
area
in
greater
detail.
Geostatistical
Methods
to
asses
Porosity
and
Facies
distribution
in
Stanford
V
Reservoir.
Generated
maps
of
the
distribution
of
Porosity
and
Facies
by
developing
variograms
to
employ:
Ordinary
&
Simple
Kriging
and
Sequential
Gaussian
Simulation,
and
improving
the
maps
by
integrating
seismic
data
via:
Co-
located
CoKriging,
Sequential
Co-
Simulation,
and
Sequential
Indicator
Co-
Simulation.
Also
developed
a
MATLAB
code
for
Alternating
Conditional
Expectation
(ACE)
algorithm
as
a
data
driven
non-
parametric
regression
to
find
the
optimal
correlation
scheme
between
multiple
variables.
Numerical
Reservoir
Simulation
in
MATLAB
Built
an
implicit
2-
phase
finite
difference
simulator
for
arbitrary
well,
reservoir
and
boundary
conditions,
and
Black
Oil
–
Water,
using
Newton-
Rhapson
iterations
and
Lagging
Coefficients
for
pressure
and
saturation
solution.
Determining
the
Optimal
Upscaling
scheme
for
the
highly
heterogeneous
SPE10
reservoir
model.
Developed
a
complex
code
in
MATLAB
applying
various
algebraic
and
flow-
based
numerical
solution
methods
to
generate
upscaled
permeabilities
and
transmissibilities
for
multiple
resolutions.
For
each
scheme,
streamlines’
density
&
distribution,
Total
Time-
of-
Flight
maps,
and
water-
cut
(field-
wide
and
at
producers)
plots
were
generated
and
visualized.
The
optimal
scheme
was
selected
as
the
most
favorable
comparison
of
the
upscaled
model
to
the
fine-
resolution
model.
Aspects
of
Streamline
Simulation
with
MATLAB.
Developed
a
pressure-
solver
and
streamlines’
generator
for
arbitrary
well-
placements
&
boundary
conditions.
Applied
different
weighting
and
TVD
schemes
for
numerical
transport
of
fluid
along
streamlines.
Studied
Operator-
Splitting
as
a
quicker
numerical
solution
of
the
Buckley
Leverett
Equation
for
gravity
effects.
Integrated
Reservoir
Study
of
BP’s
Horn
Mountain
Field,
GoM.
Performed
a
meticulous
reservoir
study
involving
well-
log
analysis
&
geologic
studies
by
incorporating
3D
Seismic
Data
for
reservoir
characterization
and
creating
an
initial
static
reservoir
model.
History
Matching
was
performed
on
the
model
using
prior
production
data
and
4D-
seismic
data
to
create
the
final
static
model
used
for
further
studies
in
forecasting,
economics,
reserves
estimates,
and
identifying
optimal
infill
drilling
zones.
Project
demanded
extensive
use
of
GEOGRAPHIX
SUITE
and
CMG,
and
well-
log
and
reservoir
simulation
concepts.
Optimal
Field
Development
using
Integrated
Production
Modeling
(IPM).
An
optimal
development
scenario
was
deduced
for
a
synthetic
data
set
for
the
number,
type
and
scheduling
of
producer
wells,
separator
pressure,
and
dimensions
of
piping
network.
MBAL
was
used
to
build
the
reservoir
model,
PROSPER
was
used
for
the
well-
bore
models,
and
GAP
was
used
to
create
a
surface
network
model
that
combined
into
the
IPM
used
for
sensitivity
studies.
Determining
Uncertainty
in
OOIP
for
a
synthetic
field
case.
Generated
equi-
probable
Porosity
maps
integrating
core
and
log
porosity
data
using
Simple,
Ordinary
Kriging
and
Sequential
Gaussian
Simulation,
and
subsequently
determined
the
volumetric
uncertainty
via
Monte-
Carlo
Simulation.
History
Matching
for
Stockyard
Field.
Attained
familiarity
with
using
CMG
to
perform
a
manual
history
match
for
reservoir
parameters.
Formation
Evaluation
and
Mapping
for
Maracaibo
Field
with
Geographix
Software
Suite.
Attained
expertise
at
analyzing
well-
logs
to
generate
maps
of
petrophysical,
geologic
and
structural
properties.
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