RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

Updated time: May, 2014

RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

Personal Information:

Name: Telman Maghrebi

Date of birth: September, 1979

Address: No: 6, Baharan 1, Darya St, Shahrake Gharb

(Sanat Sq),Tehran, Iran.

Phone: +98-21-440*****

Cell Phone: +98-912-***-****

Contact Emails: acec7y@r.postjobfree.com.

Career Objectives:

My ultimate objective with respect to my precise upstream work experience is

working vigorously as a member of Reservoir Studies department in collaboration

with competent professionals.

I am confident that as a result of my desire for hard work as well as keen interest in

my scientific background considering all facets, I would be capable enough to

contribute positively to any given developer organization that needs my assistance.

Employment History:

Nearly 9 years of experience in E&P industry as a Geostatistical Reservoir Modeler in

the following companies:

mid 2013-Present Upstream developer company, POGIDC.

Senior Reservoir Simulator

The main objective of Persia Oil & Gas Industry Development Company whom I have

been now working for is to develop common oil fields along Iran_Iraq border. The

main task of my job in this developing company is to reduce underground

uncertainties thru the following procedures:

1 Update constructed reservoir geometry model by doing well correlation and

perceiving a deep knowledge about sedimentological environment.

2 Update constructed property models by knowing Geostatistics knowledge

which reveals how samples in space are correlated with each other

(variography on individual well logs). This technique must be applied to

estimate or simulate reservoir properties in unsampled locations of a 3D grid

model. If there is lots of actual data in space, lots of drilled wells, the

Updated time: May, 2014

RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

deterministic approach like kriging or inverse distance should be applied for

estimation, otherwise by having sparse data in space, the stochastic methods

like Sequential Gaussian Simulation for porosity or permeability attributes and

Sequential Indicator Simulation for discrete facies would be valuable.

3 Once static updating of a 3D model and oil in place volume calculation has

been revised, the previous prepared development strategy could be optimized

based on our understanding from the reservoir by relocating some wells to

newly defined coordinates or by modifying their directional drilling parameters

such as KOP, Vertical section of reservoir entry point and DLS; however, all

preliminary designed well trajectories in reservoir would be slightly deviated

from the plan thru the Logging While Drilling results.

2010-2012 Upstream Industry-Subsurface Sector, CAPE Group, Inc.

Geostatistical Reservoir Modeler

1 Getting involved in reservoir studies team work to supervise work on one of the

first 5 giant oil fields in the world - Azadegan Oil Field. Concise summary of this

task would be as follows:

•Quality Check of static and dynamic updated models based on newly attained

data.

•Annotate proposals to constructed models according to the uncertainty analysis.

2 Taking part in Full Field Study project of Sirri-A & E oil fields as a reservoir

geomodeler in order to make accurate and precise static model for Ilam and Sarvak

oil-bearing formations. The brief content of this work is to:

• Review all the previous studies done by Sofiran in 1970, TOTAL in 1995 and

Beicip-Franlab-Tehran Energy Consultants (TEC) in 2004 and finally make Field

History summary reports.

• Import all the required raw data for constructing static and dynamic models

and making a data bank for that Field by Petrel & Petrel-RE software including

input Well data (well headers, deviations, full suite logs), Interpreted seismic

horizons and faults, resample Acoustic Impedance cube (for reservoir

characterization), Well markers (well top formations), raw and interpreted well

logs, Observed data (production and injection history rates), event data

Updated time: May, 2014

RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

(completion dates, numbers and types, stimulation date, perforation intervals,

squeeze and plug) and checkshot data.

• Draw experimental variograms and cross-variograms individually in vertical or

lateral direction in order to identify the direction of anisotropy (cell thickness

and well spacing).

• Analyze and quality checks the initial data for property model.

• Build a realistic 3D Property Model, populating the model with facies and

petrophysical properties using deterministic or stochastic methods.

• Make volume calculation and uncertainty analysis (evaluating different

scenarios)

• Upscale the static model properties for simulation and lastly predict

production by making development strategies and simulation cases. (by

Petrel RE)

2007-2012 Oil, Gas and Petrochemical Industry Deputy, IRAN ITOK,,Inc.

Geostatistical reservoir Modeler

Getting involved in preparing Darquain Oil Field Phase III Development Plan as a

technical reservoir engineer:

From contractual outlook:

• Negotiate with technical team of client (Petroleum Engineering Department of

PEDEC Company) in order to endorse prepared MDP.

• Preparing technical scope of work for subsurface Tender Documents.

From technical point of view:

• Updating all Static and Dynamic GeoModels and then designing optimized

well paths.

2004- 2007 PVT division, Reservoir Simulation Department, Reservoir Engineering

Sector,

Research Institute of Petroleum Industry (RIPI), Tehran, Iran.

Working as an apprentice for different disciplines including CCAL, SCAL and PVT lab:

Updated time: May, 2014

RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

• Conducting Differential and flash gas liberation experiments at PVT laboratory

(Trainee)

• Measuring oil and gas properties: The Calculation of Formation Volume Factor

and Solution Gas-Oil Ratio from Differential Vaporization and Separator Test

at PVT laboratory (Trainee)

Education and Training Qualifications:

• M.S (En) in Exploration of Mining Engineering, Petroleum & Mining

Engineering Dept, Engineering Faculty, Tehran University, Tehran, Iran, 2008

• B.S (En) in Exploration of Mining Engineering, Faculty of Engineering, Yazd

University, Yazd, Iran, 1998.

Special Achievements:

• Ranked 1st among more than 2000 Petroleum Engineering participants in

entrance exam for getting M.Sc (En). Degree from Islamic Azad University of

Science & Research Tehran

Individual Skills:

• Teaching basic statistics and spatial statistics fundamentals (multivariate

stochastic geostatistical simulation) and Seismic to Simulation Petrel software

advanced training courses for Exploration and Production oil and gas

Industry employees.

• Data analysis from both classic and spatial statistics point of view on raw and

interpreted petrophysical logs.

• Updating constructed static and then dynamic reservoir models thru newly

acquired data. (Petrel RE)

• Making new static models based on deterministic or stochastic geostatistical

methods depending on spatial data distribution conditions.

• Data analysis for individual well logs and core results including their statistical

parameters (PDF, CDF graphs), multivariate classic statistics description

(Covariance and correlation coefficient matrix, Principle Component Analysis,

Q-Q plots, P-P plots, Cross plots) and eventually detect anisotropy through

variogram modeling.

Updated time: May, 2014

RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

Facies (Pixel based or Object based) and porosity modeling using geostatistical

•

simulation methods like Sequential Indicator Simulation for discrete logs and

Sequential Gaussian Simulation algorithms for continues logs

• In fact, Water saturation modeling is somehow more challenging than porosity

or permeability modeling owing to the fact that above oil water contact with

just connate water saturation (above the transition zone), water saturation is

vertically independent from spatial position and is just randomly varied, so the

geostatistical algorithms can be applied. On the other hand, in the transition

zone because of the fact that water saturation is dependent on height above

free water level (height curve, or the level that capillary pressure is zero), the

geostaistical algorithms cannot be applied due to not fulfilling second

stationary theory assumption (trend) in Geostatsics.

• Volumetric calculation relying on various random generated realizations and

afterwards applying uncertainty and optimization analysis for STOIIP & OIIP

• Quick look interpretation of full suite and special logs (FMI or XRMI)

Research Interests:

Artificial Intelligence reservoir estimation method

• Financial Engineering, Opportunity & Feasibility Studies

• Geostatistical stochastic inversion

• Advanced Multiple-Statistics Reservoir Modeling

• Uncertainty & Risk Analysis

Software Skills:

• Excellent at SPSS statistical Software

• Excellent at Geological Static Modeling by PETREL and RMS Software

• Excellent at all Geostatistical softwares like Geo-EAS, SGems, VARIOWIN

package

• Mediocre at OpenWorks database Software (Landmark Graphics Corporation)

• Mediocre at PVTi module of Eclipse service pack

• Mediocre at E-100 and E-300 modules of Eclipse software

• Mediocre at Comfar 3.3 (Financial software)

Updated time: May, 2014

RESUME

“Drilling well path & location optimizer”

Thru Geostatistics

General Computer and Language Skills:

• Programming: C++, Mat lab

• Office (Outlook, Power point, Professional Word, Excel), AutoCAD,

ArcGis, Photo shop

• Project Control: MS project, Primavera P3e

• Upper intermediate English speaker (IELTS band 6), and also native at

Persian and Turkish

Professional Affiliation:

• Society of Petroleum Engineers (SPE)

• European Association of Geoscientists & Engineers (EAGE)

• Iranian Society of Mining Engineering (ISME)

Updated time: May, 2014

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