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Advances in Digital Automation within Refining Tim Olsen Emerson Process Management
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Advances In Digital Automation Within Refining

Jun 08, 2015

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Jim Cahill

Emerson's Tim Olsen presents to Argentinean refiners on the changes in automation technologies and how they are being applied to improve efficiency and reduce costs.
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Page 1: Advances In Digital Automation Within Refining

Advances in Digital Automation within Refining

Advances in Digital Automation within Refining

Tim Olsen

Emerson Process Management

Page 2: Advances In Digital Automation Within Refining

SpeakerSpeaker

Tim Olsen

Emerson Process Management

Emerson, 1998 – Present

• Performance Consultant

UOP, 1990 – 1998

• Technical Advisor on Refinery Unit Startups

Page 3: Advances In Digital Automation Within Refining

The Digital RefineryThe Digital Refinery

The continuing evolution in digital computing and communication capabilities and the application of these technologies have led to fundamental differences in the way processing plants operate and will continue to change the way they operate in the future. We can characterize these changes as “The Digital Refinery”

Background: Advances in Computing

Examples: Advances in Automation within Refining

Page 4: Advances In Digital Automation Within Refining

Typical Process Computer’s PerformanceTypical Process Computer’s Performance

50% per year increase! Compounded for 40 years!

0 .0 0 1

0 .0 1

0 .1

1

1 0

1 0 0

1 0 0 0

1 0 0 0 0

1 0 0 0 0 0

1 9 6 5 1 9 7 0 1 9 7 5 1 9 8 0 1 9 8 5 1 9 9 0 1 9 9 5 2 0 0 0 2 0 0 5 2 0 1 0 2 0 1 5Year

MIP

S

(Wh

eats

ton

e)

D E CM in ic o m p u te rs

P C - S in g leC o re

P C - M u ltip leC o re s

D a ta R e f: R o y L o n g b o tto m 's P C B e n ch m a rk C o l le c tio n h ttp :/ /w w w .ro y lo n g b o tto m .o rg .u k /

P D P 8

VA X

C e le ro n

Page 5: Advances In Digital Automation Within Refining

Computer AdvancesComputer Advances

Cray 2 Supercomputer 1 Gigaflop1985 - $23 millionRef Wired , February 22, 2008 , by Rob Beschizza

Cray CX1: 4 Terraflops

$25,000

Available on Amazon.comRef: Wired; September 16, 2008; by Brian Chen

Page 6: Advances In Digital Automation Within Refining

Memory CostMemory Cost

70% per year increase! Compounded for 40 years (RAM); 25 years (Disk) !

100 gigabytes – Basic Demographic information on every human on earth!

1 .0 0 E + 0 0

1 .0 0 E + 0 2

1 .0 0 E + 0 4

1 .0 0 E + 0 6

1 .0 0 E + 0 8

1 .0 0 E + 1 0

1 9 6 0 1 9 6 5 1 9 7 0 1 9 7 5 1 9 8 0 1 9 8 5 1 9 9 0 1 9 9 5 2 0 0 0 2 0 0 5 2 0 1 0

Ye a rs

Me

mo

ry,

Bit

s p

er

$

D ata R e f: R . K u rz w e il; T h e S in g u lar ity is N ear ; Vik in g , 2005, p .75 , 76

R A M

D is k

Page 7: Advances In Digital Automation Within Refining

IP Network Communication – Wired (Max - Bandwidth x Distance (wo amp))IP Network Communication – Wired (Max - Bandwidth x Distance (wo amp))

Any information will be available anywhere! Bandwidth will substitute for local memory!

1 0 0 0

1 0 0 0 0

1 0 0 0 0 0

1 0 0 0 0 0 0

2 0 0 0 2 0 0 2 2 0 0 4 2 0 0 6 2 0 0 8

D a te

IPV

4 -

ma

x t

era

bit

-me

ter

pe

r s

ec

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d w

o a

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D a ta R e f: In te rn e t2 L a n d S p e e d R e co rd ; h ttp :/ /w w w .in te rn e t2 .e d u / lsr/h isto ry .h tm l

Page 8: Advances In Digital Automation Within Refining

Network Communication - WirelessNetwork Communication - Wireless

1.0E+00

1.0E+01

1.0E+02

1.0E+03

1.0E+04

1.0E+05

1985 1990 1995 2000 2005

Year

Wir

ele

ss

Da

ta D

ev

ice

s -

B

its

pe

r S

ec

on

d p

er

$

Ref: R. Kurzweil; The Singularity is Near ; Viking, 2005, p.77

200% per year compound increase!

Page 9: Advances In Digital Automation Within Refining

The Exception - Software Productivity Growth The Exception - Software Productivity Growth

Only 4% per year increase from 1970 to 2000; less thereafter! Salary increases similar! No net cost reduction.

Software is dominant cost in system development/ implementation!

However, software has much longer life than hardware.

Page 10: Advances In Digital Automation Within Refining

Implications of Computing TrendsImplications of Computing Trends

Low cost computing / communications replaces higher cost “other”

“Distance Doesn’t Matter” - Physical location of individuals irrelevant with regard to communication and information availability – virtual organizations

Computational limits are receding

Everything that can be digitized will be digitized

No “practical limits” on data / information storage

Page 11: Advances In Digital Automation Within Refining

What does this mean for the Refining Industry?

What does this mean for the Refining Industry?

The Growth of The Smart Refinery through Digital Automation

Page 12: Advances In Digital Automation Within Refining

Older Automation Field Networks – Analog 4-20 maOlder Automation Field Networks – Analog 4-20 ma

4-20mA

Only 1 value is transmittedOnly one direction

Page 13: Advances In Digital Automation Within Refining

ST_REV, TAG_DESC, STRATEGY, ALERT_KEY, MODE_BLK, BLOCK_ERR, RS_STATE, TEST_RW, DD_RESOURCE, , MANUFAC_ID, DEV_TYPE, DEV_REV, DD_REV, GRANT_DENY, HARD_TYPES, RESTART,

FEATURES, FEATURE_SEL, CYCLE_TYPE, CYCLE_SEL, MIN_CYCLE_T, MEMORY_SIZE, NV_CYCLE_T, FREE_SPACE, FREE_TIME, SHED_RCAS, SHED_ROUT, FAIL_SAFE, SET_FSAFE, CLR_FSAFE, MAX_NOTIFY,

LIM_NOTIFY, CONFIRM_TIME, WRITE_LOCK, UPDATE_EVT, BLOCK_ALM, ALARM_SUMACK_OPTION, WRITE_PRI, WRITE_ALM

ST_REV, TAG_DESC, STRATEGY, ALERT_KEY, MODE_BLK, BLOCK_ERR, PVOUT, SIMULATE, XD_SCALE, OUT_SCALE, GRANT_DENY, IO_OPTS, STATUS_OPTS, CHANNEL, L_TYPE, LOW_CUT, PV_FTIME, FIELD_VAL, UPDATE_EVT, BLOCK_ALM,

ALARM_SUM, ACK_OPTION, ALARM_HYS, HI_HI_PRI, HI_HI_LIM, HI_PRI, HI_LIM, LO_PRI, LO_LIM, LO_LO_PRI, LO_LO_LIM, HI_HI_ALM, HI_ALM, LO_ALM, LO_LO_ALM

ST_REV, TAG_DESC, STRATEGY, ALERT_KEY, MODE_BLK, BLOCK_ERR, PV, SP, OUT, PV_SCALE, OUT_SCALE, GRANT_DENY, CONTROL_OPTS, STATUS_OPTS, IN, PV_FTIME,

BYPASS, CAS_IN, SP_RATE_DN, SP_RATE_UP, SP_HI_LIM, SP_LO_LIMST_REV, TAG_DESC, STRATEGY, ALERT_KEY, MODE_BLK, BLOCK_ERR, PV

SP, OUT, PV_SCALE, OUT_SCALE, GRANT_DENY, CONTROL_OPTS, STATUS_OPTS, INPV_FTIME, BYPASS, CAS_IN, SP_RATE_DN, SP_RATE_UP, SP_HI_LIM, SP_LO_LIM, GAIN

RESET, BAL_TIME, RATE, BKCAL_IN, OUT_HI_LIM, OUT_LO_LIM, BKCAL_HYS, BKCAL_OUT, RCAS_IN, ROUT_IN, SHED_OPT, RCAS_OUT, ROUT_OUT, TRK_SCALE,

TRK_IN_D, TRK_VAL, FF_VAL, FF_SCALE, FF_GAIN, UPDATE_EVT, BLOCK_ALM, ALARM_SUM, ACK_OPTION, ALARM_HYS, HI_HI_PRI, HI_HI_LIM, HI_PRI, HI_LIM, LO_PRI,

LO_LIM, LO_LO_PRI, LO_LO_LIM, DV_HI_PRI, DV_HI_LIM, DV_LO_PRI, DV_LO_LIM, HI_HI_ALM, HI_ALM, LO_ALM, LO_LO_ALM, DV_HI_ALM. DV_LO_ALM

Digital FieldNetworks Require

To Support

Digital FieldNetworks Require

To Support

But Computers and Communication and Calculations have migrated to the Field Devices…But Computers and Communication and Calculations have migrated to the Field Devices…

Page 14: Advances In Digital Automation Within Refining

Site Wide Control Room

Coordinated Multiple Loop Digital Control

Computer Screen Interface

Control Rooms have also ModernizedControl Rooms have also Modernized

Each Unit had a separate Control Room

Single Loop Analog Control

Panel Board Interface

Photo Ref: Emerson Process Management

Photo Ref: Emerson Process Management

Page 15: Advances In Digital Automation Within Refining

Ref: A. Chatha; “Current Business Drivers and Trends;” ARC 2009 Orlando Conference; February, 2009

Page 16: Advances In Digital Automation Within Refining

Advances in Digital Automation in RefiningAdvances in Digital Automation in Refining

Predictive Diagnostics Key Performance Indicators (KPI) Advanced Process Control (APC) Wireless Health Monitoring Single Site Engineering Support /

Control Room

Sample Examples

Page 17: Advances In Digital Automation Within Refining

Predictive Diagnostics and AnalyticsPredictive Diagnostics and Analytics

Condition Detection BEFORE it becomes a problem in the Plant!

Photo Ref: Emerson Process Management

Page 18: Advances In Digital Automation Within Refining

Future Trends – Predictive Analytics - How do we avoid this?Future Trends – Predictive Analytics - How do we avoid this?

Photo Ref: Emerson Process Management

Page 19: Advances In Digital Automation Within Refining

Smart cars monitor tire

pressure

Smart cars monitor tire

pressure

Tire icon indicates low pressure

Tire icon indicates low pressure

Car advises driver of abnormal situation made possible via new technologiesCar advises driver of abnormal situation made possible via new technologies

Photo Ref: Emerson Process Management

Page 20: Advances In Digital Automation Within Refining

Two requirements: - Sensing technology- Presentation to user at the right time

Two requirements: - Sensing technology- Presentation to user at the right time

Page 21: Advances In Digital Automation Within Refining

Hydrocracker Quench Control ValveHydrocracker Quench Control Valve

Low instrument air pressure to quench valve actuator – poor response to control

Maintenance and Operator alerted

Potential exothermic reaction runaway avoided

No emergency depressuring / shutdown required

No safety incident

FC

TI

Feed

FC

H 2Recycle

FC

TC

AI

TI

TI

TI

TI

Effluent

TI

FC

FC

FC

TC

TC

TC

H 2 Quench

H 2

ALERT

Page 22: Advances In Digital Automation Within Refining

Labor Savings – Predictive AnalyticsLabor Savings – Predictive Analytics

Studies have shown that more than 60% of a typical instrument technician’s trips to the field result in either no action or a minor configuration adjustment that could be done from their office with smart instruments.

Manpower savings 1.6 hours per instrument per year with root cause analysis– 1,000 instruments

– 1,600 hours savings

RoutineCheck

NoProblem

FailedInstrument

PluggedLines

ZeroOff

CalibrationShift

4%6%6%

20%

28%

35%

0RoutineCheck

NoProblem

FailedInstrument

PluggedLines

ZeroOff

CalibrationShift

4%6%6%

20%

28%

35%

0

Page 23: Advances In Digital Automation Within Refining

Smart Turnaround CaseSmart Turnaround Case

Three-year study with Gulf Coast Refiner to reduce maintenance spending utilizing predictive instrument and valve diagnostics

Average maintenance savings $100,000 USD per year

Unexpected benefit of ~$1 million USD per year operations with better process control and plant availability

Fix only what needs maintenance, nothing more

Page 24: Advances In Digital Automation Within Refining

System Modernization CaseSystem Modernization Case

“Poor reliability and frequent shutdowns were undermining the refinery's efforts to serve the market effectively.”

Automation System Upgrade on Gulf Coast Hydrocracker

Results showed sustained 50% reduction in reliability risk

Estimated Savings, $1-2 Million per year

Page 25: Advances In Digital Automation Within Refining

Key Performance Indicators, KPIKey Performance Indicators, KPI

Quickly at a glance, understand issues with the refinery.

Poor performance does not go undetected.

Energy use per barrel processed is tracked and trended.

Predictor for poor heater operation or effects of heat exchanger fouling.

Detect losses with heat and weight balancing

Page 26: Advances In Digital Automation Within Refining

KPI Dashboard CaseKPI Dashboard Case

“After the installation of data reconciliation software and a KPI dashboard display, the model showed an incorrect process unit lineup. A recycle line was open that should have been closed. After closing the recycle we were able to increase hydrotreater throughput by 8 percent. This resulted in an energy savings of $400,000 per year and a product profit increase of $500,000 per year, for a total benefit of $900,000 USD per year.”

Planning Manager

Refinery, North America

Abnormal Operation does not go Undetected

Page 27: Advances In Digital Automation Within Refining

Advanced Process Control, APCAdvanced Process Control, APC

Embedded APC within Modern Automation Systems– Better measurements and tighter control valve resolution

– Easy and Faster Startup

– Easy for Board Operators to understand, thus stays “ON”

– Easy to Maintain and Change as Needed

IMPROVED PROFITBY CHANGING

TARGET

REDUCEDVARIABILITY

POOR CONTROL

$PROFIT

SPECIFICATION LIMITSafety Margin

Page 28: Advances In Digital Automation Within Refining

APC Case, Complex Distillation ColumnAPC Case, Complex Distillation Column

2 weeks configuring and commissioning

1 week proof testing

Average overehead product loss reduced by ~22%

Impurities in bottoms were maintained within specifications.

Steam usage reduced ~7%

Estimated value over $700,000 USD per year

Bottoms Main Product

Feed 1

TC

TI

Feed 2

At constant OH rate, this temp sets the energy balance (R/F).

Internal Reflux

Lt EndsImpurities

This flow sets the material balance

(D/F)

Complicated OH

condenser system

LC

Page 29: Advances In Digital Automation Within Refining

Pump Health Monitoring Current Pump Health Monitoring Current PracticePracticePump Health Monitoring Current Pump Health Monitoring Current PracticePractice Preventive pump maintenance

programs pull pumps whether the pump needs maintenance or not increasing pump maintenance cost

API RP 52 (auxiliary pump seal flush system) improves safety but does not include monitoring for undetected failures

Auxiliary pump seal flush system alarms not implemented– Insufficient spare wiring in the field

Typical Pump Seal Assembly•What: Unpressurized buffer fluid circulation

through reservoir

•Why: Backup seal

•Where: High vapor pressure fluids, emissions

Page 30: Advances In Digital Automation Within Refining

Pump Health Monitoring CasePump Health Monitoring CasePump Health Monitoring CasePump Health Monitoring Case

NA Refiner Wireless Field Instruments on Pumps

Secure, robust Smart Wireless gateway

Benefits

– Health monitoring enables prompt detection of abnormal pump vibration

– Wireless sensor network implementation saved 75% of the cost over wired alternative

Page 31: Advances In Digital Automation Within Refining

Multi-Site Control Center / Remote SupportMulti-Site Control Center / Remote Support

Control CenterEngineering

CenterPlant 1

Plant 2Plant 3

Photo Ref: Emerson Process Management

Page 32: Advances In Digital Automation Within Refining

But…. Has it Mattered?But…. Has it Mattered?

Page 33: Advances In Digital Automation Within Refining

US Oil Refining Industry Employee ProductivityUS Oil Refining Industry Employee Productivity

Employee Productivity Up 300%, Even With:- Increased Complexity - More Crudes/ Product Grades

- Increased Regulatory Requirements

8 0 0 0

1 0 0 0 0

1 2 0 0 0

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1 8 0 0 0

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Employment

Ref: Crude Run: US DOE EIA: http://tonto.eia.doe.gov/dnav/pet/hist/mttrius2a.htmEmployment: US DOL BLS; http://www.bls.gov/oes/

Page 34: Advances In Digital Automation Within Refining

Refining Safety ImpactRefining Safety Impact

0

1

2

3

4

5

1985 1990 1995 2000 2005 2010 2015

Year

US

Re

fin

ery

In

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an

d I

lln

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s

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ide

nc

e,

pe

r 1

00

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Ref: US DOL BLS http://www.bls.gov/iif/oshsum.htm

Page 35: Advances In Digital Automation Within Refining

ConclusionsConclusions

The continuing evolution in digital computing and communication capabilities and the application of these technologies have led to fundamental differences in the way plants operate and will continue to change the way they operate in the future.

Page 36: Advances In Digital Automation Within Refining

Operate Smarter, More EfficientlyOperate Smarter, More Efficiently

Diagnose and Alert problems prior to failure or safety incident

Opportunity to act on information to prevent failure or safety incident

Identify root cause of problem prior to going into the field Quickly see KPI Dashboards to detect abnormal

operation

Page 37: Advances In Digital Automation Within Refining

Questions?Questions?

1. Questions? Comments – contact [email protected]

2. More material on subject:

www.SmartRefinery.com