gas lift automation n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Gas Lift Automation PowerPoint Presentation
Download Presentation
Gas Lift Automation

Loading in 2 Seconds...

play fullscreen
1 / 16

Gas Lift Automation - PowerPoint PPT Presentation


  • 165 Views
  • Uploaded on

Gas Lift Automation. Dr Alasdair S Brown Technical Manager EPS Americas. Automation. A Requirement for fields with many wells Intelligence needs built in to applications to permit automated diagnosis “Productisation” is important to shorten time to implementation

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Gas Lift Automation' - janus


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
gas lift automation

Gas Lift Automation

Dr Alasdair S Brown

Technical Manager

EPS Americas

1

automation
Automation
  • A Requirement for fields with many wells
  • Intelligence needs built in to applications to permit automated diagnosis
  • “Productisation” is important to shorten time to implementation
  • Standard Interfaces for components to allow quick integration. Concentrate software effort on integration rather than development

2

automation1
Automation
  • Solutions need to be robust and integrated on a solid, well designed basis, capable of scaling up to support total field operations
  • Not put together by “garage mechanics with glue guns” – Larry Ellison on the need for software which requires less tailoring
  • Need to integrate workflow across technical disciplines (“Knowledge Management”)

3

step change example refining

Millions Of Barrels Per Day

Utilisation Rate

20

100

&

Capacity

Utilisation

&

&

15

95

&

&

&

&

10

90

&

&

&

&

5

85

0

80

1991

1990

1992

1993

1994

1995

1996

1997

1998

1999

2000

Year

Step Change Example - Refining

Throughout the nineties, US refining utilisation has improved radically.

This benefit was delivered through the application of Automation and Optimization IT.

US Refining Efficiency

5

dynamic gas optimisation
Dynamic Gas Optimisation

Objective - PDVSA identified the opportunity to make significant gains in production from mature fields in the Maracaibo area through integration of automation and optimisation technologies.

Scope

  • PDVSA awarded a contract to a consortium led by ABB to deliver an integrated system (PRAP) to deliver these gains
  • EPS deliverables included the optimisation systems and well modelling and diagnosis in the automated well testing subsystem

6

slide7

7 May, 2001

Integration CaseStudy

Well CL243

CHP

THP

THT

Qgi

8

slide8

7 Mayo, 2001

16:16

The casing pressure increasesrapidly...

THP

THT

CHP

5042 :: CL243-1 :: ASMS Well Rule 42 :: SEDILAG has performed an initial run on well CL 243because the casing pressure has changed. The possible reason could be:1. Multiple injection points, or2. A gas-lift valve failure, or3. Tubing-Annulus communication.SEDILAG should confirm the specific reason.A SEDILAG run will be initiated automatically.

Qgi

9

slide9

7 Mayo, 2001

16:16

A 75 minute timer starts to see if the new abnormal situation in the well stabilises before starting SEDILAG

Using Zoom...

THP

THT

CHP

Qgi

10

slide10

AVG Function

MAX Function

MIN Function

7 May, 2001

17:32

The analysis of the trends and the extraction of data for the SEDILAG execution starts

Qgi

THP

CHP

11

slide11

7 May, 2001

17:32

A SEDILAG run starts which combines these process data values with the production history and the WellFlo well model.

THP

THT

CHP

Qgi

12

slide12

7 de Mayo, 2001

17:32

As a result of the SEDILAG diagnosis, an alarm is produced.

Integrationwith Well TestOptimization

Comes from SEDILAG andconfirms the suspicions ofASMS!

THP

THT

CHP

Qgi

13

dynamic gas optimisation1
Dynamic Gas Optimisation

Results

  • An integrated production model was built by EPS and interfaced to the SCADA system.
  • The initial implementation covered some 250 wells in Lake Maracaibo
  • This pilot phase generated quantifiable gains of between 2% and 7% in the areas covered resulting in a bottom line performance gain of $36 million per annum.
  • The success of the pilot has given PDVSA the confidence to implement this technology through all its assets - this is projected to improve financial performance by $800 million per annum

The DGO application optimizes the use of gas as a fuel and between the different consumers.

14

slide14
i-DO

Objective – short term gains of 3-7% in production, medium term – unit cost reductions of up to 35%

Scope

  • Used on a daily basis to manage the asset and make operational decisions including
      • Hydrocarbon Accounting
      • Production Reporting
      • Environmental Reporting
      • Production Loss Management
      • Production Forecasting
      • On-line “Real Time”
        • Field Production Optimisation
        • Production Welltest Diagnosis

Delivery

  • An integrated set of tools linked to real time data acquisition systems for on-line operation

15

slide15
i-DO

Implementation

  • Build on existing products
  • Reduce risk through virtually an “off-the-shelf” solution
    • All components configurable (without software changes) for different assets
    • Generic SCADA interfaces available

16

intelligent daily operations

Production

Hydrocarbon

Diagnosis

Rules

(WPAS)

Allocation

(PALMS)

Accounting

(PALMS)

onomic

model

c

E

Optimiser

(ReO)

Control

BHP Data

Module

(i-DO)

Interpretation

(PanSuite)

Field SCADA System

Interface to other applications

analysis

Risk

SCADA Interface

Surface

Well

Material

Network

Models

(WellFlo)

Balance

apps

Other

Models

(ReO)

Resevoir Models

(MatBal)

Internet/Intranet

users

Intelligent Daily Operations

17