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Integration of Petroleum and
Reservoir Engineering Workflows
into a Production Database
Management System to Increase
Operational Efficiency
Asset Optimization- Improving Production Rates,
Operational Efficiency & Reservoir Recovery
29th October 2015
Andrew Hyde
DEA Deutsche Erdoel AG PAGE 2Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
Asset Overview – Breagh
• Located in the SNS
• 8/10 wells drilled from Alpha
platform
• 120km Pipeline back to Teesside
Gas Processing Plant
• Up to 9 additional wells to drill in
Phase II Development
• 60o wells
• Enhance well PI
• Multiple producing zones
• Wireline access
• 2 fracced Wells, future wells to be
fracced and some existing wells to
be reentered and fracced
DEA Deutsche Erdoel AG PAGE 3
Current Challenges
› Volume of data overwhelming (P, T, Q, composition, PCS)
› Data reliability (spreadsheets, changing staff, corporate memory, audit trail)
› Data integrity – data can get corrupted in spreadsheets/have bugs, managing
access to the data
› Data accessibility (recording changes, access across departments)
› Consistent models (Eclipse, Petrel, GAP, Prosper, Consistent paramaters)
› Efficiency (Saving engineers time to focus on engineering)
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
DEA Deutsche Erdoel AG PAGE 4
Objective
› Implementation of a Production Data Management System (PDMS),
Manageable
Reliable
Accessibility
Data integrity – data can get corrupted in spreadsheets, managing access
to the data
› Workflows
Standardise
Automate
Integration of multiple work flows and software
Operational Efficiency (Saving engineers time to focus on engineering)
› Reporting
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
Increase Operational Efficiency
DEA Deutsche Erdoel AG PAGE 5
PDMS - Overview
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
Spreadsheets
(Internal and 3rd party)
Data historian
(PI/Honeywell)
Models
Avocet
Workflows
Schematics/
Reports
Reports
Forecasts
KPIs
Facilitating active
management and
informed decision
making
QC
Processes
DEA Deutsche Erdoel AG PAGE 6
PDMS - Content
› Have direct link to data Honeywell data historian
› Automated input of 3rd party spreadsheets
› Basic QC processes Actual and Allocated Wobbe Index compared, 3rd
party data
› Key document database
Compositional gas analysis
Water analysis
Completion diagrams
› Audit trail for every input
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
DEA Deutsche Erdoel AG PAGE 7
PDMS – Access and Visualisation
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
Visualisation of Data
Automatic loading of data
Quick access to historic data
DEA Deutsche Erdoel AG PAGE 8
Workflows - Overview
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
DEA Deutsche Erdoel AG PAGE 9
Workflows - Allocation Automation
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
› Basic calculation and conversions
Audit of factors used
› Production Allocation
Multiple methodologies used to confirm allocation
Time consuming
Multiple tools used (spreadsheets, hydraulic modelling & PTA software)
› Three key processes to automate
Rate values from IPR curve
Daily productivity index (PI) calculation
Rate values from wellhead temperature curve
DEA Deutsche Erdoel AG PAGE 10
Workflows – Rate from IPR Curves
› Based on initial productivity
› Benchmarked by PBU analysis (changing pressure and skin)
› Interpolation between latest data points
› Main allocation technique
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
DEA Deutsche Erdoel AG PAGE 11
Workflows – Productivity Index Calc.
› Productivity Index calculated on a
daily basis, based on a calculated
linear decline of pressure between
two PBU’s
› Changes in PI indicate either:
› Incorrect Allocation
› Changing wellbore conditions
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑣𝑖𝑡𝑦 𝐼𝑛𝑑𝑒𝑥 =𝐹𝑙𝑜𝑤𝑟𝑎𝑡𝑒
(𝑅𝑒𝑠𝑒𝑟𝑣𝑜𝑖𝑟 𝑃𝑟𝑒𝑠𝑠𝑢𝑟𝑒2 − 𝐵𝑜𝑡𝑡𝑜𝑚 𝐻𝑜𝑙𝑒 𝑃𝑟𝑒𝑠𝑠𝑢𝑟𝑒2)
DEA Deutsche Erdoel AG PAGE 12
Workflows – Wellhead Temp. Correlation
› Rate based allocation based on Wellhead Temperature correlation
› Previous 6 months allocated rate data plotted against wellhead temperature
› Largest error bar associated with this methodology
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
0
2
4
6
8
10
12
14
16
30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140
Gas
Rat
e -
MM
scfd
THT- ºF
Rate-Temperature Correlation
A5z
DEA Deutsche Erdoel AG PAGE 13
Workflows – Integration with other
software
› Data automatically fed into third party software:
Well Test Analysis
Rate Transient Analysis
Decline Curve Analysis
Reservoir Simulation
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
1.00
10.00
100.00
0.00 10,000.00 20,000.00 30,000.00 40,000.00 50,000.00 60,000.00 70,000.00 80,000.00 90,000.00 100,000.00
Rat
e (
mm
scfd
)
Cum Gas (mmscf)
Breagh 42/13a-A8
10-2 10-1 100 101
10
-410
-310
-2
Delta-T (hr)
DP
& D
ER
IVA
TIV
E (
MP
SI2
/CP
/MS
CF
/D)
STABIL
13-SEP-2014 23:1520-SEP-2014 11:1821-SEP-2014 20:40
2014/09/21-2040 : GAS (PSEUDO-PRESSURE)
Skin(darcy) = -2.0295
permeability = 6.5000 MD
Perm-Thickness = 403.00 MD-FEET
Turbulence = 0. 1/MSCF/D
P-extrap. = 3405.73 PSI
R(inv) at 0.6358 hr = 102. FEET
Smoothing Coef = 0.,0.
Static-Data and Constants
Volume-Factor = 1.080 RB/MSCF
Thickness = 62.00 FEET
Viscosity = 0.01980 CP
Total Compress = 0.0001477 1/PSI
Rate = 12000. MSCF/D
Storivity = 0.001282 FEET/PSI
Diffusivity = 4187. FEET^2/HR
Gauge Depth = N/A FEET
Perf. Depth = N/A FEET
Datum Depth = N/A FEET
Analysis-Data ID: OPC01
Based on Gauge ID: OPC01
PFA Starts: 2014-09-06 05:30:00
PFA Ends : 2014-09-22 06:25:00
DEA Deutsche Erdoel AG PAGE 14
Reporting - Overview
› Single auditable source of data for
Management reporting
Regulator
Partners
› Standardised reporting
› On demand access to data
› Live data to feed dashboard KPI
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
DEA Deutsche Erdoel AG PAGE 15
Summary – We have:
› Implanted a robust, auditable database
Improved the management and quality of our data
One version of truth across the business
KPIs visible and accessible to management
› Increased Operational Efficiency through time saving and increased focus on
value adding activities
Automation of some work flows (and striving to automate more)
Controlled transfer of data between applications
Management by exception
› Improved data accuracy and reliability without additional work load through
work flow automation.
› Already kicked off project to implement Avocet across all out operated and non
operated sites
Asset Optimization- Improving Production Rates, Operational Efficiency & Reservoir Recovery
Thank You
Questions?
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