Skip to main content
Glama
gabrielserrao

pyResToolbox MCP Server

gas_density

Calculate gas density at reservoir conditions using real gas equation of state for gradient calculations, well pressure analysis, and material balance in petroleum engineering.

Instructions

Calculate gas density (ρg) at reservoir conditions.

CRITICAL GAS PVT PROPERTY - Computes gas density from real gas equation of state. Essential for gradient calculations, well pressure analysis, and material balance. Gas density increases significantly with pressure due to compressibility.

Parameters:

  • sg (float, required): Gas specific gravity (air=1.0). Valid: 0.55-3.0. Typical: 0.6-1.2. Example: 0.7.

  • degf (float, required): Reservoir temperature in °F. Valid: -460 to 1000. Typical: 100-400°F. Example: 180.0.

  • p (float or list, required): Pressure(s) in psia. Must be > 0. Can be scalar or array. Example: 3500.0 or [1000, 2000, 3000, 4000].

  • h2s (float, optional, default=0.0): H2S mole fraction (0-1). Typical: 0-0.05. Example: 0.02.

  • co2 (float, optional, default=0.0): CO2 mole fraction (0-1). Typical: 0-0.20. Example: 0.05.

  • n2 (float, optional, default=0.0): N2 mole fraction (0-1). Typical: 0-0.10. Example: 0.01.

  • zmethod (str, optional, default="DAK"): Z-factor method for density calculation. Options: "DAK", "HY", "WYW", "BUR". DAK recommended.

Density Formula: ρg = (P × MW) / (Z × R × T)

Where:

  • P = pressure (psia)

  • MW = molecular weight = sg × 28.97 lb/lbmol

  • Z = gas compressibility factor

  • R = gas constant = 10.732 psia·ft³/(lbmol·°R)

  • T = temperature (°R = °F + 460)

Density Behavior:

  • Increases with pressure (gas compresses)

  • Decreases with temperature (gas expands)

  • Typical range: 5-20 lb/cuft at reservoir conditions

  • At standard conditions: ~0.05-0.1 lb/cuft

Returns: Dictionary with:

  • value (float or list): Density in lb/cuft (matches input p shape)

  • method (str): Z-factor method used

  • units (str): "lb/cuft"

  • inputs (dict): Echo of input parameters

Common Mistakes:

  • Using separator temperature instead of reservoir temperature

  • Pressure in barg/psig instead of psia (must be absolute)

  • Not accounting for non-hydrocarbon fractions

  • Using ideal gas law (Z=1) instead of real gas (Z<1)

  • Temperature in Celsius instead of Fahrenheit

Example Usage:

{ "sg": 0.7, "degf": 180.0, "p": [1000, 2000, 3000, 4000], "h2s": 0.0, "co2": 0.05, "n2": 0.01, "zmethod": "DAK" }

Result: Density increases from ~8 lb/cuft at 1000 psia to ~18 lb/cuft at 4000 psia.

Note: Gas density is much lower than oil density (typically 5-20 lb/cuft vs 40-60 lb/cuft). Always use reservoir conditions. Account for all non-hydrocarbon components - they significantly affect molecular weight and density.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes

Implementation Reference

  • The core handler function for the 'gas_density' tool. It takes a GasDensityRequest, computes density using pyrestoolbox.gas.gas_den with specified Z-factor method, handles array inputs, and returns structured response with value, method, units, and inputs.
    def gas_density(request: GasDensityRequest) -> dict: """Calculate gas density (ρg) at reservoir conditions. **CRITICAL GAS PVT PROPERTY** - Computes gas density from real gas equation of state. Essential for gradient calculations, well pressure analysis, and material balance. Gas density increases significantly with pressure due to compressibility. **Parameters:** - **sg** (float, required): Gas specific gravity (air=1.0). Valid: 0.55-3.0. Typical: 0.6-1.2. Example: 0.7. - **degf** (float, required): Reservoir temperature in °F. Valid: -460 to 1000. Typical: 100-400°F. Example: 180.0. - **p** (float or list, required): Pressure(s) in psia. Must be > 0. Can be scalar or array. Example: 3500.0 or [1000, 2000, 3000, 4000]. - **h2s** (float, optional, default=0.0): H2S mole fraction (0-1). Typical: 0-0.05. Example: 0.02. - **co2** (float, optional, default=0.0): CO2 mole fraction (0-1). Typical: 0-0.20. Example: 0.05. - **n2** (float, optional, default=0.0): N2 mole fraction (0-1). Typical: 0-0.10. Example: 0.01. - **zmethod** (str, optional, default="DAK"): Z-factor method for density calculation. Options: "DAK", "HY", "WYW", "BUR". DAK recommended. **Density Formula:** ρg = (P × MW) / (Z × R × T) Where: - P = pressure (psia) - MW = molecular weight = sg × 28.97 lb/lbmol - Z = gas compressibility factor - R = gas constant = 10.732 psia·ft³/(lbmol·°R) - T = temperature (°R = °F + 460) **Density Behavior:** - Increases with pressure (gas compresses) - Decreases with temperature (gas expands) - Typical range: 5-20 lb/cuft at reservoir conditions - At standard conditions: ~0.05-0.1 lb/cuft **Returns:** Dictionary with: - **value** (float or list): Density in lb/cuft (matches input p shape) - **method** (str): Z-factor method used - **units** (str): "lb/cuft" - **inputs** (dict): Echo of input parameters **Common Mistakes:** - Using separator temperature instead of reservoir temperature - Pressure in barg/psig instead of psia (must be absolute) - Not accounting for non-hydrocarbon fractions - Using ideal gas law (Z=1) instead of real gas (Z<1) - Temperature in Celsius instead of Fahrenheit **Example Usage:** ```python { "sg": 0.7, "degf": 180.0, "p": [1000, 2000, 3000, 4000], "h2s": 0.0, "co2": 0.05, "n2": 0.01, "zmethod": "DAK" } ``` Result: Density increases from ~8 lb/cuft at 1000 psia to ~18 lb/cuft at 4000 psia. **Note:** Gas density is much lower than oil density (typically 5-20 lb/cuft vs 40-60 lb/cuft). Always use reservoir conditions. Account for all non-hydrocarbon components - they significantly affect molecular weight and density. """ method_enum = getattr(z_method, request.zmethod) den = gas.gas_den( sg=request.sg, degf=request.degf, p=request.p, h2s=request.h2s, co2=request.co2, n2=request.n2, zmethod=method_enum, ) # Convert numpy array to list for JSON serialization if isinstance(den, np.ndarray): value = den.tolist() else: value = float(den) return { "value": value, "method": request.zmethod, "units": "lb/cuft", "inputs": request.model_dump(), }
  • Pydantic schema (BaseModel) defining input parameters and validation for the gas_density tool, including sg, degf, p (scalar or list), h2s, co2, n2, zmethod with field validators for positive pressure.
    class GasDensityRequest(BaseModel): """Request model for gas density calculation.""" sg: float = Field( ..., ge=0.5, le=2.0, description="Gas specific gravity (air=1, dimensionless)" ) degf: float = Field( ..., gt=-460, lt=1000, description="Temperature (degrees Fahrenheit)" ) p: Union[float, List[float]] = Field( ..., description="Pressure (psia) - scalar or array" ) h2s: float = Field( 0.0, ge=0.0, le=1.0, description="H2S mole fraction (dimensionless)" ) co2: float = Field( 0.0, ge=0.0, le=1.0, description="CO2 mole fraction (dimensionless)" ) n2: float = Field( 0.0, ge=0.0, le=1.0, description="N2 mole fraction (dimensionless)" ) zmethod: Literal["DAK", "HY", "WYW", "BUR"] = Field( "DAK", description="Z-factor calculation method" ) @field_validator("p") @classmethod def validate_pressure(cls, v): """Validate pressure values.""" if isinstance(v, list): if not all(p > 0 for p in v): raise ValueError("All pressure values must be positive") else: if v <= 0: raise ValueError("Pressure must be positive") return v
  • Call to register_gas_tools(mcp) which defines and registers all gas tools including gas_density via @mcp.tool() decorators within the function.
    register_gas_tools(mcp)
  • The register_gas_tools function where the gas_density tool is defined with @mcp.tool() decorator for registration.
    def register_gas_tools(mcp: FastMCP) -> None:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gabrielserrao/pyrestoolbox-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server