Enhanced Oil Recovery - Fapespfapesp.br/eventos/2017/statoil/PDF/09-Osvair-Vidal_13h15.pdf ·...

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Enhanced Oil Recovery Osvair Vidal Trevisan [email protected]

Transcript of Enhanced Oil Recovery - Fapespfapesp.br/eventos/2017/statoil/PDF/09-Osvair-Vidal_13h15.pdf ·...

Enhanced Oil Recovery

Osvair Vidal [email protected]

Oil Recovery

Kokal and Al-Kaabi, 2012

Oil Recovery

O&G Journal, 2014

Steam Injection

Lab tests

Thermal Methods

Labtests

100 min 200 min

300 min 400 min

Lab tests

Steam Injection parametersvarying steam qualitywith nitrogenwith solventwith flue-gasSAGD

5 Master thesis

Steam Injection

Thermal Methods

Lab tests

In-situ Combustion

Thermal Methods

Lab tests

Tube combustion parametersdrywetwith additives

Kinetics of oxidationoiloil/sand/clayoxygen/airSARA components

7 Master thesis

In-situ Combustion

Thermal Methods

Thermal Methods

Simulation

In-situ combustionreaction modelingscale effectsmatching at lab scalefield scale modeling

Steam injectionlab scale modelingSAGD variationsmechanisms in NFR

5 Master thesis , 1 PhD

Miscible Methods(Gas Injection)

Rock-fluid PropertiesDispersion in heterogeneous mediaHysteresis in relative permeabilityEffects of dissolution on the rock propertiesWettability at high pressure

5 Master thesis , 2 PhD

Miscible Methods(Gas Injection)

Fluid PropertiesPVT of light oil – CO2

CO2 partition between oil and waterDiffusion and swelling of light oil with CO2

IFT at high pressure

2 Master thesis, 1 PhD

Designed Water

Oil recoverySpontaneous imbibitionDisplacement testsEffects of dissolution on the rock properties

Designed Water

2 Master thesis , 1 PhD

0

10

20

30

40

50

60

70

0 30 60 90 120 150 180

Oil

reco

very

(%

OO

IP)

Time (Days)

Dol/1000/SW

Dol/1000/FW

Dol/2500/SW

Dol/2500/FW

Spontaneous imbibition Displacement tests

Mission: improve decision making process related toreservoir development and management

20 years of experience

Team of 60 people (professors, researchers, studentsand support)

Projects with industry: 46

Articles: +430

Academic : +150

Prizes: 26

Students (Concluded): +150

Support software development

Creation of benchmark cases used worldwide UNISIM-I Benchmark (UNISIM, 2013)

• Carbonate Reservoirs*

• Fractured Reservoirs Simulation*

• WAG, CO2, Treatment Fluid*

• Polymer Flooding*

• Model Based Decision Analysis

• Intelligent fields

• Value of Information

• Reservoir Modeling and Optimization of Integrated Systems Surfaces

• Uncertainty reduction with dynamic data assimilation and integration with 4D Seismic

• Applications in Large and Complex Models

UNISIM-II Benchmark (UNISIM, 2016)

• Pre-Salt Carbonate Reservoirs

– Representation of Critical Heterogeneities in reservoir simulation models

– Fluid Treatment

– Optimization of WAG and CO2 injection

– Importance of models in the decision of: design – G1 (well spacing, prod system, ..); control – G2 (cycles, rates, …)

– Consequences on the performance of the filed under uncertainties (risk analysis)

72

8 S

im.

15

2 S

im.

-6

-5

-4

-3

-2

-1

0

1

2

0 1000 2000 3000 4000 5000

NP

V (

E09

USD

)

Simulations

Design parameters

Control parameters

• Pre-Salt Carbonate Reservoirs – Representation of Critical Heterogeneities in reservoir simulation models

– Fluid Treatment

– Optimization of WAG and CO2 injection

– Importance of models in the decision of: design – G1 (well spacing, prod system, ..); control – G2 (cycles, rates, …)

– Consequences on the performance of the filed under uncertainties (risk analysis)

• Polymer Flooding – Complete risk analysis integration

geologic/economic uncertainties with polymer properties that affect the efficiency of the recovery process • degradation, retention, inaccessible pore

volume, dependence of viscosity with concentration, salinity, injectivity)

– Complete economic analysis for 2 complex cases.

Polymer Design

Rheology and Degradation

Polymer Sweep Eficiency

in Heavy-oil Reservoirs

NMR Investigation on Rock Wettability

Chemistry Institute

EOR by combination of zwitterionic and non-ionic surfactants

SB 3-16

ImS 3-5,7

ImS 3-16

ImS 3-14

0.1 1 10 100 1000 10000

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5

Inte

nsity (

a.u

.)

Time (ms)

sandstone with oil

sandstone with water

NMR Investigation on Rock Wettability

Chemistry Institute

0 10 20 30 40 50 60 70 80

0.0

0.5

1.0

1.5

2.0

2.5

Rati

o w

ate

r/o

il

time (h)

Sandstone

-10 0 10 20 30 40 50 60 70 80

0.0

0.5

1.0

1.5

2.0

wate

r/oil

ratio

Time (hours)

sea water

ImS 3-5,7 (5:5)

ImS 3-16 (9:1)

SB 3-16 (9:1)

ImS 3-14 (5:5)

ImS 3-16 (5:5)

Limestone

Osvair Vidal [email protected]