Name: Neqsim Production Optimization
Author: equinor

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Neqsim Production Optimization | Skills Pool

ProductionProfile profile = new ProductionProfile();

// Method 1: Arps decline
profile.setDeclineModel(ProductionProfile.DeclineModel.EXPONENTIAL);
profile.setPeakRate(25000.0);         // boe/d
profile.setDeclineRate(0.15);         // 15% per year (Di)
profile.setPlateauDuration(3);        // years at peak
profile.setProjectLife(25);           // total years
double[] rates = profile.generateProfile();

// Method 2: Hyperbolic with b-factor
profile.setDeclineModel(ProductionProfile.DeclineModel.HYPERBOLIC);
profile.setHyperbolicB(0.5);

// Method 3: Resource-constrained
ProductionProfileGenerator gen = new ProductionProfileGenerator();
gen.setResourceVolume(100.0);         // MMboe recoverable
gen.setRecoveryFactor(0.55);
gen.setPeakRate(25000.0);
gen.setBuildUpYears(2);
gen.setPlateauYears(5);
gen.generate();

FieldProductionScheduler scheduler = new FieldProductionScheduler();
scheduler.setNumberOfWells(8);
scheduler.setDrillingInterval(6);      // months between wells
scheduler.setFirstOil(2027);
scheduler.setWellProductivity(4000.0); // initial boe/d/well
scheduler.setDeclineRate(0.12);        // 12%/year per well
scheduler.setFacilityCapacity(28000.0);// boe/d plateau constraint

double[][] schedule = scheduler.generateSchedule(25);
// schedule[year][0] = oil rate, [1] = gas rate, [2] = water rate

BottleneckAnalyzer analyzer = new BottleneckAnalyzer(processSystem);
analyzer.setReservoirDecline(reservoirModel);
analyzer.setRateRange(10000, 60000, 5000);  // min, max, step (boe/d)

Map<String, Double> bottlenecks = analyzer.findBottlenecks();
// Returns: {"HP Separator": 35000, "Gas Compressor": 28000,
//           "Export Pump": 40000, "Water Treatment": 45000}
// Bottleneck = Gas Compressor at 28,000 boe/d

FacilityCapacity capacity = new FacilityCapacity();
capacity.setEquipment("HP Separator", 35000.0);    // boe/d
capacity.setEquipment("Gas Compressor", 28000.0);
capacity.setEquipment("Export Pump", 40000.0);
capacity.setEquipment("Water Treatment", 45000.0);

// Apply to production profile
double[] constrainedProfile = capacity.constrain(unconstrained);
String bottleneck = capacity.getActiveBottleneck(year);

ProductionAllocator allocator = new ProductionAllocator();
allocator.addField("Field A", fieldAProfile, 0.60);  // priority weight
allocator.addField("Field B", fieldBProfile, 0.30);
allocator.addField("Field C", fieldCProfile, 0.10);
allocator.setFacilityCapacity(50000.0);               // boe/d

Map<String, double[]> allocation = allocator.allocate();
// Returns constrained profiles per field

NetworkSolver network = new NetworkSolver("Production Network");
network.addWell(well1, 3.0);    // well, flowline length (km)
network.addWell(well2, 5.5);
network.addWell(well3, 8.0);
network.addWell(well4, 4.2);

// Mode 1: Fixed manifold pressure → find well rates
network.setSolutionMode(SolutionMode.FIXED_MANIFOLD_PRESSURE);
network.setManifoldPressure(60.0);  // bara
NetworkResult result = network.solve();

for (String wellName : result.getWellNames()) {
    double rate = result.getWellRate(wellName);     // Sm3/d
    double whp = result.getWellheadPressure(wellName); // bara
}

// Mode 2: Fixed total rate → find required manifold pressure
network.setSolutionMode(SolutionMode.FIXED_TOTAL_RATE);
network.setTargetTotalRate(50000.0);  // Sm3/d
result = network.solve();
double requiredManifoldP = result.getManifoldPressure();

LoopedPipeNetwork net = new LoopedPipeNetwork("Gathering");
net.setFluidTemplate(gas);
net.setSolverType(LoopedPipeNetwork.SolverType.NEWTON_RAPHSON);
net.setMaxIterations(500);
net.setTolerance(500.0);

// Wells with IPR
net.addSourceNode("R1", 230.0, 0.0);
net.addJunctionNode("MF1");
net.addWellIPR("R1", "MF1", "W1", 5e-13, true);

// Artificial lift
net.setGasLift("W1", 500.0);             // kg/hr
net.setESP("W2", 80.0, 0.55);            // kW, efficiency

// Water, sand, corrosion tracking
net.setWaterCut("W1", 0.15);
net.setSandRate("W1", 3.0);              // kg/hr
net.setCorrosiveGas("trunk", 0.035, 0.002);  // CO2, H2S mol frac
net.setCorrosionModel("trunk", "NORSOK");     // NORSOK M-506

// GHG emissions
net.setCO2EmissionFactor(2.75);
net.setMethaneSlipFactor(0.02);

net.run();

// Post-run analysis
Map<String, double[]> sand = net.calculateSandTransport();
Map<String, double[]> corr = net.calculateCorrosion();
Map<String, double[]> em = net.calculateEmissions();
double annualCO2 = net.getAnnualCO2EmissionsTonnes();

GasLiftCalculator glCalc = new GasLiftCalculator();
glCalc.setWellDepth(3000.0);          // m
glCalc.setReservoirPressure(250.0);   // bara
glCalc.setProductionRate(5000.0);     // boe/d
glCalc.setGLR(500.0);                // Sm3/Sm3
glCalc.setInjectionPressure(150.0);   // bara

double optimalGLR = glCalc.calculateOptimalGLR();
double gasRate = glCalc.calculateInjectionRate();  // Sm3/d

GasLiftOptimizer optimizer = new GasLiftOptimizer();
optimizer.addWell("P1", well1, glCalc1);
optimizer.addWell("P2", well2, glCalc2);
optimizer.addWell("P3", well3, glCalc3);
optimizer.setTotalGasAvailable(500000.0);  // Sm3/d field gas supply

Map<String, Double> allocation = optimizer.optimize();
// Returns optimal gas injection rate per well
double totalOilGain = optimizer.getTotalOilGain();

ScenarioAnalyzer scenarios = new ScenarioAnalyzer();

// Base case
scenarios.addScenario("Base", baseEngine);

// High oil price
CashFlowEngine highPrice = baseEngine.clone();
highPrice.setOilPrice(90.0);
scenarios.addScenario("High Price", highPrice);

// Low recovery
CashFlowEngine lowRecovery = baseEngine.clone();
lowRecovery.setRecoveryFactor(0.45);
scenarios.addScenario("Low Recovery", lowRecovery);

// Accelerated drilling
CashFlowEngine accelerated = baseEngine.clone();
accelerated.setDrillingInterval(3);  // 3 months vs 6
scenarios.addScenario("Accelerated", accelerated);

Map<String, CashFlowResult> results = scenarios.runAll();
scenarios.generateComparisonTable();

InjectionStrategy waterInj = InjectionStrategy.waterInjection(1.0);  // VRR = 1.0
InjectionResult result = waterInj.calculateInjection(
    reservoir, oilRate, gasRate, waterRate
);
double requiredRate = result.waterInjectionRate;   // Sm3/d
double achievedVRR = result.achievedVRR;

InjectionStrategy gasInj = InjectionStrategy.gasInjection(0.8);  // VRR = 0.8
// May also use produced gas reinjection

Method	Viscosity Limit	Depth Limit	API Gravity	Recovery Boost
Water flood	< 150 cP	Any	> 15°	5-30% OOIP
WAG	< 10 cP	> 1500 m	25-50°	5-15% OOIP
Polymer	10-150 cP	< 3000 m	> 15°	5-15% OOIP
Steam (SAGD)	> 200 cP	< 1500 m	7-20°	20-50% OOIP
CO2 flooding	< 12 cP	> 600 m	> 25°	8-20% OOIP
Surfactant	< 35 cP	< 3000 m	> 20°	5-15% OOIP

EmissionsTracker emissions = new EmissionsTracker();
emissions.setProcessSystem(processSystem);
emissions.setFuelType("natural_gas");
emissions.setProductionRate(25000.0);  // boe/d

double co2Tonnes = emissions.calculateAnnualCO2();
double intensity = emissions.getCO2Intensity();  // kgCO2/boe

DetailedEmissionsCalculator detailedCalc = new DetailedEmissionsCalculator();
detailedCalc.setGasTurbinePower(25.0);    // MW
detailedCalc.setFlareRate(5000.0);        // Sm3/d
detailedCalc.setFugitiveRate(0.001);      // fraction of throughput

Map<String, Double> breakdown = detailedCalc.calculate();
// {"turbine_CO2": ..., "flare_CO2": ..., "fugitive_CH4": ..., "total_CO2e": ...}

EnergyEfficiencyCalculator efficiency = new EnergyEfficiencyCalculator();
efficiency.setProcessSystem(processSystem);
efficiency.setExportRate(25000.0);  // boe/d

double specificPower = efficiency.getSpecificPower();  // kW/boe
double energyEfficiency = efficiency.getEfficiency();  // %
Map<String, Double> consumers = efficiency.getPowerBreakdown();
// {"Gas Compression": 15.2, "Water Injection": 8.5, "Utilities": 3.1}

Strategy	NeqSim Support	Key Considerations
Infill drilling	New `WellSystem` + network rebalance	Marginal well economics
Water shut-off	Adjust `WellSystem` water cut	Intervention cost vs benefit
Gas lift optimization	`GasLiftOptimizer`	Declining reservoir pressure
Tie-back satellite	`TiebackAnalyzer`	Host capacity utilization
EOR (CO2, polymer)	`InjectionStrategy` + EOS	Fluid compatibility
Cessation of production	`DecommissioningEstimator`	Regulatory requirements

DecommissioningEstimator decom = new DecommissioningEstimator();
decom.setNumberOfWells(6);
decom.setWellAbandonment(true);       // P&A wells
decom.setSubseaRemoval(true);         // Remove subsea equipment
decom.setPlatformRemoval(false);      // Subsea tieback — no platform
decom.setPipelineDecommissioning(true);
decom.setWaterDepth(350.0);
decom.setRegion("Norway");

double abex = decom.estimate();       // MUSD
Map<String, Double> breakdown = decom.getBreakdown();

Pitfall	Impact	Prevention
Optimizing wells independently	Sub-optimal network, back-pressure effects	Always use `NetworkSolver` for coupled optimization
Ignoring facility constraints	Unrealistic production profile	Apply `FacilityCapacity` constraints to profile
Static gas lift allocation	Missed oil as reservoir depletes	Re-optimize gas lift periodically as BHP declines
Ignoring water cut increase	Overstated revenue, understated OPEX	Model watercut trajectory, include water treatment costs
Over-producing from best wells	Premature water/gas coning	Balanced withdrawal per reservoir zone
Ignoring backpressure coupling	Wrong wellhead pressures	Network solver captures well-to-well interactions

Model	Formula	Use Case
Exponential	$q(t) = q_i e^{-Dt}$	Gas wells, constant decline
Hyperbolic	$q(t) = q_i (1 + bDt)^{-1/b}$	Oil wells, b = 0.3-0.8
Harmonic	$q(t) = q_i / (1 + Dt)$	Hyperbolic with b = 1
Plateau + exponential	Build-up → plateau → decline	Constrained by facility

Model	Formula	Use Case
Exponential	$q(t) = q_i e^{-Dt}$	Gas wells, constant decline
Hyperbolic	$q(t) = q_i (1 + bDt)^{-1/b}$	Oil wells, b = 0.3-0.8
Harmonic	$q(t) = q_i / (1 + Dt)$	Hyperbolic with b = 1
Plateau + exponential	Build-up → plateau → decline	Constrained by facility

Neqsim Production Optimization

NeqSim Production Optimization Skill

Production Profile Modeling

Decline Curve Types

Production Profile Generation

Neqsim Production Optimization

NeqSim Production Optimization Skill

Production Profile Modeling

Decline Curve Types

Production Profile Generation

Multi-Well Drill Schedule

Facility Bottleneck Analysis

Identifying Constraints

Facility Capacity Over Time

Production Allocation

Multi-Field to Single Facility

Network Optimization

Multi-Well Gathering System

LoopedPipeNetwork (Advanced)

Gas Lift Optimization

Single Well

Multi-Well Allocation

Scenario Analysis

Multi-Scenario Comparison

IOR/EOR Screening Considerations

Water Injection (Voidage Replacement)

Gas Injection

Key IOR/EOR Methods (Screening Criteria)

Emissions Tracking

Detailed Emissions

Energy Efficiency

Late Life & Decommissioning

Late Life Options

Decommissioning

Common Optimization Pitfalls

Continuous Learning V2

Continuous Learning V2

Continuous Learning V2

Continuous Learning

Continuous Learning

Pytorch Patterns