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Gas Coning Control and Gaslift Stabilisation in Shell Gabon

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Presentation on theme: "Gas Coning Control and Gaslift Stabilisation in Shell Gabon"— Presentation transcript:

1 Gas Coning Control and Gaslift Stabilisation in Shell Gabon
By Aat Eken, Shell Global Solutions, Rijswijk NL Mike Harper, Shell Gabon, Rabi Cor Koster, Shell Gabon, Gamba Azmi Mohd. Noor, Shell Global Solutions, Kuala Lumpur, Malaysia

2 Shell Gabon Rabi Gamba Thin Oil Rim Dev – 46 m Some 200 + Wells
Horizontal Slotted Liner Nat.Prod., GL, Wtr & Gas Inj. 5 Gathering Stations One Central Station Early 2001 Production fig.- - 90kbpd, 20% decline/yr GOR and rising - 60% WC and rising Gamba Shell Gabon Office Oil Terminal

3 “Rabi Dumb Well” Wellhead measurements are all local
Production choke control by fixed bean (expressed in ~n*8/64th inch) Operator visits well by car If bean too small: well dies, seen by change of THP If bean too large: well “cones gas”, seen by change of THP and THT/FLT After a start-up a well needs smaller beans as time progresses Pigging and scraping for wax removal at ~2 d intervals.

4 “Case for Action” Problem:
Thin oil rim with gas cap, causing gas break through and coning. Declining at a rate of some 20% per year. Consequence:

5 “Project Objectives” Automated well control via an algorithm control loop to arrest gas coning CAO network, providing remote monitoring and control Provide live well data onto the SWW Fast track project to arrest rapid decline (20% per year) Technology to be maintainable Provide the basic infrastructure to allow remote control of Rabi gathering stations

6 Smart Technology in Shell EP
VALUE PAST PRESENT FUTURE ENHANCE RECOVERY Smart Fields DataMining / Artificial Intelligence / Neural Net / Expert System / Statistical Quality Control Surface/Wells/Subsurface Application / Workflow World’s First Online Integrated Static Model Integration e Business Online Dynamic Technology Evolution Modeling & Optimisation Tern Optimiser Smart Well Controller Dynacon FieldWare SMOC SOFS Shell Delta - P ACCELERATED OIL Shell Oil Multivariable Foundation Optimising Software Control 2003 TIME

7 “Project Specifics” Choke Valve Design & Selection Control System
  Interchangeable trims so that standard body sizes could be deployed Given high GOR wells, chokes used as in the NAM fields were chosen Linear characteristics and high rangeability for controllability   Easier identification of bean size equivalent for choke trim sizes Control System Delta-P, Delta-T measurements for coning detection and well instability Leverage existing eqpt, contracts for fast tracking   Minimal maintenance due to the remoteness of Rabi

8 CAO for Rabi Smart Wells
SG LAN NETWORK JB Shell Wide Web operator PI SERVER MULTI CORE CABLE I Central Station GAMBA Programmer P PT TT SIGNAL CABLE ALONG PIPELINE CHOKE Flow VALVE 5x Gathering Station Flow line length to Gathering Station 1 to 5 (a 6) Km. TT PT FT FV Gas Lift PT FIBRE OPTIC CABLE DCS +/ - 70x Wells WELL HEAD operator

9 “Rabi Smart Well Controller”

10 “SWC Multiphase Flowmeter”

11 “SWC Algorithm” Inputs: THP, FLP, THT, FLT, FC - 1 SP XVL-2 FC -2
Gas Lift Valve Calc block FC - 1 SP XVL-2 FC -2 XVL-1 MLD XFU-1 Choke Valve Inputs: THP, FLP, THT, FLT, Valve Position, dPk factor,etc. Ramp Rate 100 Choke Gas Lift 75 100

12 “SWC Automatic Sequencing”

13 “SWC Auto Start-Up”

14 Rab-016 Scraping/Pigging
“SWC Well Stability” Rab-016 Scraping/Pigging

15 “SWC Benefit to Rabi” Gains exceed expectation +10% GOR capped @ 3000
CAO infrastructure enabled rapid intervention Quality data enabled weekly optimisation Remote operation

16 Conclusions Production of oil from thin oil rims lead to gas coning
Limited gas coning helps optimise production Uncontrolled gas coning leads to rapid depletion of the gas cap and strong production decline Better production information and better well stability through ConeControl assists the production optimisation team in their task to produce the oil field in the best possible way.

17 “Rabi Smart Team”


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