JOGME MEC FORUM M 201 2018 8 Keynote S e Spea eaker er PTTE - - PowerPoint PPT Presentation

SLIDE 1

Vinit H Hansamu muit it

SVP, Business &

& Organi anizat ation T

• n Trans

ansfor

• rmat

mation

• n

November 2018 2018

JOGME MEC FORUM M 201 2018 8 Keynote S e Spea eaker er

PTTE TTEP –JOGMEC EC C Collaboration

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Vision: Lead

ading ng A Asian an E&P c comp mpany any driven b n by comp mpetitive p perfor

• rma

mance nce, advan ance ced t techn hnol

• log
• gy a

and green en pract actice ces

Mission: PTTE

TTEP oper erates es globally lly t to p provid ide r relia liable le energy s suppl pply a and d susta tain inable le v valu lue t to a all st stak akeholders

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40 P 40 Projects in in 11 c 11 countries Production : 350, 350,000 BOE BOED

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16 Technology Programs

Increase Exploration Success

• Basin Analysis
• Advanced Imaging

Green Practices

• GHG Reduction
• Waste Management
• Water Management
• Energy Efficiency

Enhance Production

• Increase Recovery
• Maximize Production
• CO2 Management
• Corrosion & Erosion Management
• Sand Management
• Smart Maintenance
• Well Engineering

Technology for New Business

• Robotics
• Renewable Energy
• Energy Storage

4 Technology Platforms

Enhance Production Increase Exploration Success Green Practice Technology for New Business

Proof of Concept Development

Phase 1 Preliminary Study Phase 2 Lab Testing Phase 3 Prototype Phase 4 Pilot Phase 5 Deployment

Technology D Deve velopment P Portfolio

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• Online UT
• Top of the line

Corrosion Mitigation and Prediction Model

• PTTEP Corrosion

Prediction Modelling based on Machine Learning

• Microbiologically

Influenced Corrosion Project

• Advance coating by

graphene

• Self-Cleaning

Production Separator

• Automatic Fire Pixel

Detection using Image Processing

• AI for Remote

monitoring and diagnostics

• Asset Performance

Management (APM)

• Portable Gas Shield

Capsule

• Electromagnetic fluid

movement monitoring

• CBIL for hydrocarbon

extraction/recovery

• Production System

Optimization Model

• In-House Software for

Production Optimization (LINOPT)

• Pipeline installation
• ptimization by

mechanical interference joint(ZAP-LOK)

• Stochastic Seismic

Inversion for Reservoir Modeling

• Synthetic Biogenic

Gas

• Metal foams for air

cooled heat transfer piping application

• Low salinity water

flooding

• Chemical EOR for S1
• Extremely Low BTU

Flare Tip Technology Development

• Artificial Lift

Technology for Mature Field

• Well Completion

Materials Optimization

• High Performance

Water Based Mud

• In-situ pipeline Hg

decontamination for decommissioning

• Hg removal by Metal

Organic Framework (MOF)

• Metal foams for Hg

removal

• Use of onshore drill

cuttings waste as alternative material for construction

• Emulsion fuel by

clustered water for diesel consumption reduction

• Vanadium Redox

Flow battery (VRB)

• Lithium-Sulfur battery
• Partial free energy

motor/generator

• CO2 removal by

supersonic

• CO2 removal by

Metal Organic Framework (MOF)

• CO2 Conversion to

Carbonate-base product (CCC)

• Direct methane

conversion to methanol

• CO2 conversion to

CO by cold plasma

• Micro Algae for CO2

conversion to high value products

• Bioconversion of CO2

to biochemical thru fermentation

• Development of

Carbon Nanotube from Flare or Associated Gas

• Underwater robot for

subsea inspection (AUV)

• Advanced Subsea IRM
• Jacket Inspection AUV
• In-Pipe inspection

robots

• NDT multi-rotor UAV
• Explosion protected

UAV

• Feasibility Study of

replacing the SAT diver

• peration with the ROV
• Advanced Structural

Geological Modelling

• Seismic-while-drilling
• Wireless Land

Seismic Acquisition System

Basin Analysis & Advanced Imaging

Well Engineering

Increase Recovery & Maximize Production

Corrosion & Erosion Management Smart Maintenance Robotic Technology GHG Management Waste & Water Management

Energy Efficiency / Storage / Renewable Energy

Project L t List b t by Value C Chain

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SWD, 1 EM, 22 CBIL, 2.7 TOLC, 17 Online UT, 5 Well Completion Materials Optimization, 13 Advance coating by graphene, 1 Carbon Nanotube, 12 CO2 Removal by Supersonic , 22 CO2 Removal by MOF, 11.00 Hg removal by MOF, 5.7 Hg removal by Metal foams , 2 Lithium-Sulfur … Vanadium Redox Flow battery, 1 PSO, 10 AUV for subsea pipeline inspection, 5 In-pipe Inspection Robot, 0.30 Explosion protected UAV, 1.9 NDT UAV, 0.5 Digital Predictive Maintenance, 27 Machine Learning for Corrosion Prediction, 10 Low BTU Flare Tip, 45 Advanced Subsea IRM, 13 In-situ pipeline Hg decontamination, 268 CO2 Conversion to Carbonate, 680 Zap-Lok, 58 Methane conversion to methanol , 38 LINOPT, 137 Emulsion fuel, 57

1 5 25 125 625

1 2 3 4 5 6

Status as of May 2018

Maturity Benefit

*Cumulative benefit till 2024 Phase MMUSD*

Prelim Study Lab Testing Prototype Pilot Deployment

Technolo logy P Port rtfolio lio

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Two he

• heads a

are be better er t tha han one

• ne

Collaboration i is a key t to success ss

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What m makes C Colla llabora ratio ion D Diffic icult lt

People and Or Orga ganization a are a all different

• Think in different ways about d

different t things gs

• Have d

differen erent goals or strateg egy

https://www.purina.co.uk/dogs

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What t makes C Colla llabora ratio ion P Powerf rful

It t requires a learning atti ttitude

• Op

Open t to t the ideas, go goals of o

• thers
• Honesty a

about y your own assumptions

• Willin

illingness s to ch chan ange your ur thin inki king

https://www.google.com

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Simple le W Ways f for Colla labora ratio ion

 Set c clear ar objectiv tive and expectatio ctations  Think of your own i ideas as i input, not o

• ut c

come  Liste ten to to learn, r rath ther th than judge  Identif ify your ur st strengths s an and weak akness sses  Define yo your ur role le explic icitly  Commun unicate icate regul ular arly ly  Put t things gs i in writing  Support one a another

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Working t g toge gether i is success

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PTTE TTEP-JOG OGMEC M MOU

8 March 2017

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M3 Gas Prospect

Volcani canic R c Reservoi

• ir Study

PTTE TEP-MOECO CO-JO JOGMEC EC

From 2015 2015-2017 2017

Prior to M to MOU

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PTTE TTEP-JOG OGMEC M MOU

Verif ify t the U Utiliz izatio tion of EM f for d deep o

• il r

reservoir ir

• bservat

ations

• ns

Monitor t the conductive b body i in wa water f flooding a and E EOR Deploy

• y t

the techno chnolog

• gy i

in moni nitor

• ring Oil p

prod

• duction
• n and
• ther a

alik ike a applic licatio tions Form a new B Busi siness ess in th the f futu ture

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375 375 km f from

• m Bang

angkok

• k

Discove vered 1982 1982 Lig ight C Crude : 30+ + API Current nt P Prod

• duct

ction : n : 28, 28,000 000 B BPD WF and and EO EOR hav have been a applie lied

Sirik ikit it Oil F Field

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Electromagnetic F Field Tr Trial, S Sirikit O Oil F Field

Survey ey:1-15 N Nove

• vembe

ber r 201 2017

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Surveys were carried out During the dry season in November

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Promising Outcome 2nd Survey is planned Extend to 3D model Conclusion by Q2 ’19 Deploy in both parties fields Aim for Commercialization

st47 st46 st45 st44 st43 st42 st41 st40 st39 st38 st37 st36 st35 st34 st33 st32 st31 st30 st29 st28 st27 st26 st25 st24 st23 st22 st21 st20 st19 st18 st17 st16 st15 st14 st13 st12 st11 st10 st9 st8 st7 st6 st5 st4 st3 st2 st1

Resistivity (Ωm)

5 10 14 Well SQUITEM St. Legend

0 100 200

Distance (m) N

Resistivity Map of SQUITEM 1D inversion

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• A success c

ss case se o

• f p

partnersh rships a s and collabora ration

• Every

ryone w work rk t toward rds c s common g goal

• Shar

are e e each ch o

• ther

er s stren engths

• Emphasize

e on c clear ear c communica cation b betwe ween en p partners