YPF iUp intelligent Upstream...CONFIG TEMPLATES PRODUCTION OBJECT MODELS OPC DA DLL (developed with SDK) ... SAP PM OPC Server After . #PIWorld ©2019 OSIsoft, LLC 35 PI System –

#PIWorld ©2019 OSIsoft, LLC

YPF – iUp intelligent Upstream

Máximo Frias – Lucas Llano

1


Outline

• YPF intro

• Business challenge

• iUp’s Big Picture • iUp SCADA

• iUp Web

• Conclusion

2


3

3

A 95-year-old

company

Publicly

traded

corporation

since 1993 on

the NY and BA

Exchanges

The largest

O&G producer

in Argentina

World-class

shale producer

The leading downstream player

in Argentina

YPF Luz fifth-

largest power

generator in

Argentina:

542 Kboe/d (LTM)

41% Market

Share

98.4 K boe/d

894 productive

wells

The biggest

outside the US

• 3 refineries: 50% of Argentina´s capacity.

Over 320 kbbl/day

• +1,500 gas stations. +36% Market Share

• +55% Market Share of diesel and gasoline

• 120 branches covering the agro sector

• #1 petrochemical manufacturer: output of

over 2.2 mm tons/year

The Company

that invests

most in

Argentina

1.8 GW

USD 3,400 (LTM)

YPF TODAY


UPSTREAM: SIGNIFICANT POTENTIAL WITH LEADING MARKET POSITION

4 Source: Company data 2017.

(1) As of December 2017.

YPF has 112 concessions in the most productive Argentine

basins (total reserves 1P: 929 mm boe) and 23 exploration

blocks in the country

Proved reserves: 29 mm boe

% liquids: 10%

% gas: 90%

Production: 6.3 mm boe

Noroeste


% liquids: 85%

% gas: 15%



% liquids: 12%

% gas: 88%


Austral

2017

Proved reserves 1 Production share

Liquids

52%

Gas

48%

Total: 929 mm boe Total: 359.3 mm boe

Pan American

17%

Pampa

3%

Others

20%

Pluspetrol

3%

Chevron

2%

Wintershall

5%

Total Austral

6%

YPF

41%

Sinopec

3%

Source: IAPG, as of September 2018.

Golfo San Jorge


% liquids: 99%

% gas: 1%


Cuyana


% liquids: 40%

% gas: 60%


Neuquina

Headquarters

Buenos Aires



5

iUp’s Big Picture

17K 220 14

We have scattered in supervised by

oil wells oil fields different production and

artificial lift methods

controllers



6

Before: Well Grids



7

Before: Dyna Cards



8

iUp’s Big Picture

Oil Wells

Oil Field Data Center Corporate Network

Communication

Driver

SCADA

PI Interfaces PI Suite

Corporate DB

OLEDB

iUp

SCADA (powered by AF)

SDK

PI ProcessBook

PI Vision



iUp SCADA

9

SCADA

DATABASE

COMM

DRIVER

ENGINEERING

STATION

PI OLEDB

CONFIG

TEMPLATES

PRODUCTION

OBJECT

MODELS OPC DA DLL

(developed with SDK)

OPERATOR

STATION PI WEB API



10

iUp’s Big Picture

Oil Wells

OLEDB

Oil Field Data Center Corporate Network

Communication

Driver

SCADA

PI Interfaces PI Suite

Corporate DB

iUp

SCADA (powered by AF)

SDK

PI ProcessBook

PI Vision

iUp

Web

ESRI

WebAPI


11

iUp Web

Widgets

• Torque

• Goodman

• Pump

Curves

• Dyna Cards


12

iUp Web

Well overview (PI VISION)

Well Torque (PI WebAPI) ESP Curves (PI WebAPI) Goodman (PI WebAPI)

ESRI Maps (PI WebAPI)


13

iUp Web - Beam Pump Torque

• Minimum Net

Torque

• Minimum

CLF


14

iUp Web – Beam Pump Goodman

• Metallurgical

stress

• Service Factor


15

iUp Web – ESP pump curves

• Real-time data

• Operating

window


16

iUp Web: Dyna card diagnostic



Conclusion

17

• 700 new users (72% of total) in 1 year

March 2018 May 2018 July 2018 September 2018 November 2018 January 2019

1000

500

January 2019

712 users


RESULTS CHALLENGE SOLUTION

Business Challenge: standardize data countrywide

17K wells in 220 oil fields

18

Collect, transform and display data across the country in a uniform way.

Provide SCADA with template capability and give users a website with precise information

Everybody gets the same information, the same way and performs the same analysis.

• PI AF

• PI Web API

• SQL and OLEDB

• 700+ users

• Engineers more productive

• Increase uptime

• Field data collection

• Asset modelling

• Presentation layer



Next steps

19

• Mobile

• Notifications

• KPIs


Presenters

20

• Lucas Llano

• Data Management Specialist

• YPF

• [email protected]

• Máximo Frías

• SCADA Specialist

• YPF



Questions?

Please wait for

the microphone

State your

name & company

Please remember

DOWNLOAD THE MOBILE APP

21


22


Improving Data Quality at Marathon Oil using PI AF and EQM

Presented by: Scott Williams

23



Agenda

• About Marathon Oil

• What is EQM?

• Problem Background

• Business Challenge

• Solution

• Results Obtained and Business Impact

• Conclusion

24


About Marathon Oil • Became an Independent E&P company in 2011.

• Based in Houston, Texas. With international operations in Europe and Africa.

• Our strategy is focused on the lower cost, higher margin U.S resource plays

Accelerating operations through digital technology.

25


About Marathon Oil

PI Growth over the past 5 years

• Increased tag count from 150k to 800k

• Increased use of AF Models

• Over 100 AF Templates

• Use of Event Frames to capture events leading to water and oil haul notification

• Substantial use of PI Analysis and Notifications

• CoreSight and now PI Vision used for dashboards

26


What is EQM?

27

Planning Drilling Completing Producing

Equipment Maintenance Application

• In house developed application

• Designed to solve data quality issues and increase efficiency

• Focus on completion and production stages


Problem Background • Data Quality

• Updating each system involved manually entering data.

• Data Consistency

• Inconsistent data across systems

• Efficiency

• Timing of when each system was updated was inconsistent.

• Taking days to weeks.

28


Problem Background

29

Plant Maintenance

SCADA

Measurement

Hydrocarbon Accounting

PI

Time

System update delays

Cross system dependencies

Similar data entered


Problem Background

30

How can we ensure data quality and data consistency across systems when the process looks like this?

UserInput

ProCount

SAP PM

OPC Server

UserInput

UserInput

UserInput

UserInput

UserInput


Business Challenge

In a lower priced oil market you must reduce costs and increase efficiency:

• Better tools for Operations by combining data from multiple systems

• More complete view of the well

• Prioritize operator tasks

• Marathon initiatives resulted in the PI System being the central hub for

providing data not only to users but to enterprise systems as well. • Increase in AF Models • Increase in Tag maintenance

This shift without adequate change in processes caused significant data quality issues.

31


Business Challenge

Connecting groups and changing processes

32

New Process


Solution

33

Reduce - Reuse

Types of Data

• Well Header

• Tank

• Meter

• Equipment

• Financial (Cost Centers)

EQMWell and Equipment Maintenance

Processes Name Generator Assign IP Assign Meter ID Exception Generator Intelligent Defaults

UserInput

ProCount

SAP PM

OPC Server


Solution

34

Before

UserInput

ProCount

SAP PM

OPC Server

UserInput

UserInput

UserInput

UserInput

UserInput

Well Header Data

Financial Data

Meter DataWell DataTank Data

Equipment Data

Meter Data


Equipment Data


Equipment Data

Meter DataRTU Data


Processes Name Generator Assign IP Assign Meter ID Exception Generator Intelligent Defaults

Equipment Data

UserInput

ProCount

SAP PM

OPC Server

After


35

PI System – Data HUB

LOWIStm

ProCount

Users

ProCount• Using PI to push data to Enterprise systems

• Use of Integrators to push data to HANA

• Connecting PI to more systems to aggregate

data for users

• Custom AF SDK solutions

• PI Integrator for SAP HANA

• Spotfire Reports

• PI Vision Dashboards


PI System Solution

PI Components

• PI AF SDK

• PI Templates

• PI Analytics

• PI Notifications

• PI Vision

• Event Frames

36

PI Archive


PI AFProCount

Model

PI AFOperations

Model

PI AFHANA Model

UserInput

Fully Automate the maintenance of PI Tags and AF Models


37

AF Template + AF SDK = PI Asset Creation

AF Template

AF Attribute

Configuration - Tag Creation Config PI Assets Created


PI Analytics + PI Notifications = Action

38

Use PI AF Analytics and Notifications to check and alert on data consistency

• Data Quality Reports check critical data points across systems

• KPIs measure performance

• Notify groups on lower priority issues

• Generate trackable incidents on higher priority issues

ProCount

Email Alerts

Service Now

Incident

PI Vision Data

Quality Reports

Data QualityAnalysis


PI Vision – Data Quality Dashboard

39

Focus Changed from Maintenance to Data Quality

PI Vision – KPI Dashboard

Cross System Data Exception Report


DEMO

40

EQM


41

EQM Dashboard


42

EQM New Request


43

EQM New Request


44

EQM New Request


45

EQM Data Entry


46

EQM – Error Checking


EQM Results

200+

5 Applications

Integrated

4066 Pieces of Equipment

Created Across the 5 Applications

152,932 Data Points Created Across the 5 Applications

200+ ~90% Manual Data Entry

Reduction

Impact

= Higher Efficiency

Increased Data Quality

Improved Data Consistency

>20% Reduction in Data

Quality issues


RESULTS CHALLENGE SOLUTION

Marathon Oil Company

Increase process efficiency, improve data quality and reduce time for system updates

EQM increased efficiency and data quality by reducing data entry and improved the speed by which systems were updated by reusing data

Time for all systems to be updated was reduced from days to hours while data quality improved due to reduction in manual data entry and the addition of cross system analysis

• PI Templates were used to maintain consistency in Tag creation

• PI AF SDK allowed the complete automation of multiple AF models

• PI Analysis provided the ability to perform Data Quality checks across systems

• 5 Systems integrated

• Overall manual data entry reduced

by 90%

• >20% Reduction in Data Quality

Issues

• Poor data quality

• Inconsistent timing of data entry across systems

• No Data quality checking

Improving Data Quality using PI AF and EQM

48


Contact Information

49

• Scott Williams

• Consulting SCADA Specialist

• Marathon Oil Company



50

Questions?

Please wait for

the microphone

State your

name & company

Please remember

DOWNLOAD THE MOBILE APP


51

YPF iUp intelligent Upstream...CONFIG TEMPLATES PRODUCTION OBJECT MODELS OPC DA DLL (developed with SDK) ... SAP PM OPC Server After . #PIWorld ©2019 OSIsoft, LLC 35 PI System –

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