Surface oil and gas treatment facilities in service for decades are likely to be oversized due to the natural depletion of their reservoirs. Despite these plants might have been designed modularly, meaning they comprise multiple identical units serving the same task, such units operate often in conditions far from the design. This work analyzes the revamping options of an existing upstream gas facility, chosen because representative of a wide set of plants. It presents a flexible process simulation model, implemented in the HYSYS environment and dynamically linked to an Excel spreadsheet, which includes the performance maps of all turbomachineries and the main characteristics of the investigated modifications. The model may be used to run simulations for various gas input conditions and to predict the performance over 1 year of operation and for different possible future scenarios. The first objective is to assess economically the considered options, which shall be applied only if yielding short return times of the investment since the reservoir is mature. Moreover, all options are appreciated adopting a figure of merit, here defined, that compares the overall energy consumption to the one calculated with state-of-the-art technologies. In addition, exergy and environmental analyses are executed.

1.
Svalheim
,
S.
, and
King
,
D. C.
, 2003, “
Life of Field Energy Performance
,”
Proceedings of the Offshore Europe Conference
, Aberdeen, UK, Paper No. SPE 83993-MS.
2.
Chauvin
,
D.
,
Depraz
,
S.
, and
Buckley
,
H.
, 2008, “
Saving Energy in Oil and Gas Industry
,”
Proceedings of the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production
, Nice, France, Paper No. SPE 111937-MS.
3.
OGP
, 2006, “
Environmental Performance in the E&P Industry: 2005 Data
,” International Association of Oil and Gas Producers, Report No. 383.
4.
Edwards
,
J.
, 2004, “
Improving Energy Efficiency in E&P Operations
,”
Proceedings of the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production
, Calgary, AB, Canada, Paper No. SPE 86604-MS.
5.
Nordrum
,
S.
,
Loreti
,
C.
,
McMahon
,
M.
, and
Ritter
,
K.
, 2004, “
Development of a Consistent Approach to Estimating Greenhouse Gas Emissions for the Petroleum Industry
,”
Proceedings of the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production
, Calgary, AB, Canada, Paper No. SPE 86609-MS.
6.
Cain
,
J.
,
Lee
,
A.
, and
Mingst
,
A.
, 2006, “
Developing and Using Technologies to Manage and Reduce Greenhouse Gas Emissions
,”
Proceedings of the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production
, Abu Dhabi, UAE, Paper No. SPE 98399-MS.
7.
Verkaamp
,
W.
, and
Heidug
,
W. K.
, 2006, “
A Strategy for the Reduction of Greenhouse Gas Emissions
,”
Proceedings of the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production
, Abu Dhabi, UAE, Paper No. SPE 98753-MS.
8.
Kloster
,
P.
, 1999, “
Energy Optimization on Offshore Installations with Emphasis on Offshore Combined Cycle Plants
,”
Proceedings of the Offshore Europe Conference
, Aberdeen, UK, Paper No. SPE 56964-MS.
9.
Kloster
,
P.
, 2000, “
Reduction of Emissions to Air Through Energy Optimisation on Offshore Installations
,”
Proceedings of the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production
, Stavanger, Norway, Paper No. SPE 61651-MS.
10.
Schuster
,
A.
,
Karellas
,
S.
,
Kakaras
,
E.
, and
Spliethoff
,
H.
, 2009, “
Energetic and Economic Investigation of Organic Rankine Cycle Applications
,”
Appl. Therm. Eng.
1359-4311,
29
(
8–9
), pp.
1809
1817
.
11.
Dai
,
Y.
,
Wang
,
J.
, and
Gao
,
L.
, 2009, “
Parametric Optimization and Comparative Study of Organic Rankine Cycle (ORC) for Low Grade Waste Heat Recovery
,”
Energy Convers. Manage.
0196-8904,
50
(
3
), pp.
576
582
.
12.
Peng
,
D. -Y.
, and
Robinson
,
D. B.
, 1976, “
A New Two-Constant Equation of State
,”
Ind. Eng. Chem. Fundam.
0196-4313,
15
(
1
), pp.
59
64
.
13.
Twu
,
C. H.
,
Tassone
,
V.
,
Sim
,
W. D.
, and
Watanasiri
,
S.
, 2005, “
Advanced Equation of State Method for Modeling TEG–Water for Glycol Gas Dehydration
,”
Fluid Phase Equilib.
0378-3812,
228–229
, pp.
213
221
.
14.
Kotas
,
T. J.
, 1985,
The Exergy Method of Thermal Plant Analysis
,
Butterworths
,
London
.
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