petro-mcp

MCP server that gives LLMs access to 70 petroleum engineering tools.

Parse well logs, fit decline curves, run PVT correlations, calculate drilling hydraulics, evaluate well economics, and more -- all through natural language with any MCP-compatible AI assistant.

Built by Groundwork Analytics

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What is this?

petro-mcp is a Model Context Protocol server that exposes petroleum engineering workflows to LLMs like Claude and other MCP-compatible assistants. Instead of writing scripts to parse LAS files or fit decline curves, just ask your AI assistant in plain English.

Why MCP? MCP is an open standard that lets AI assistants interact with external data and tools. While other energy MCP servers provide commodity prices (OilpriceAPI), petro-mcp is purpose-built for petroleum engineering workflows -- well log interpretation, decline curve analysis, reservoir engineering, drilling calculations, production engineering, and economics.

Prefer a web UI? Try the Production Close Assistant -- upload messy production data, get clean analysis-ready output in seconds. Free, no signup. Also: Decline Curve Analysis | Well Economics

Prerequisites

• Python 3.10 or later (download)
• Claude Desktop (download), Cursor (download), or any MCP-compatible client

Installation

pip install petro-mcp

Or install from source:

git clone https://github.com/petropt/petro-mcp.git
cd petro-mcp
pip install -e .

For well trajectory tools (optional):

pip install petro-mcp[trajectory]

Quick Start

Configure with Claude Desktop

Add to your claude_desktop_config.json:

Config file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "petro-mcp": {
      "command": "petro-mcp",
      "args": []
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "petro-mcp": {
      "command": "python",
      "args": ["-m", "petro_mcp.server"]
    }
  }
}

Configure with Cursor / VS Code

Add to your MCP settings (.cursor/mcp.json or equivalent):

{
  "mcpServers": {
    "petro-mcp": {
      "command": "petro-mcp"
    }
  }
}

Selective tool loading

Load only the tool groups you need to reduce token overhead:

petro-mcp --tools decline,pvt,economics
petro-mcp --list-tools  # show available groups

Available groups: las, production, decline, pvt, petrophysics, calculations, units, drilling, reservoir, economics, production_eng, trajectory.

Use it

Once configured, ask your AI assistant:

• "Read the LAS file at /data/wells/wolfcamp.las and summarize the curves"
• "Load production data from /data/prod.csv and fit a decline curve for Wolfcamp A-1H"
• "Calculate EUR with qi=800, Di=0.06, b=1.1 and a 5 bbl/day economic limit"
• "Run a nodal analysis: 3500 psi reservoir, PI=4.2, 2.875-inch tubing, 150 psi wellhead"
• "Calculate PVT properties for 35 API oil at 200F and 3000 psi"
• "What's the kill mud weight if SIDP is 500 psi, current MW is 10.5 ppg, TVD 12000 ft?"

Tools (70)

Well Logs (4 tools)

Tool	Description
read_las	Parse a LAS 2.0 file -- returns well header and curve data summary
get_header	Extract well header metadata (name, UWI, location, KB, TD)
get_curves	List all curves with units and descriptions
get_curve_values	Get curve data with optional depth range filtering

Production Data & Trends (2 tools)

Tool	Description
query_production	Query production CSV data by well name and date range
analyze_trends	Detect production anomalies: shut-ins, rate jumps, water breakthrough, GOR blowouts

Decline Curve Analysis (6 tools)

Tool	Description
fit_decline	Fit Arps decline curves (exponential, hyperbolic, harmonic, modified hyperbolic, Duong)
calculate_eur	Calculate Estimated Ultimate Recovery from decline parameters
fit_ple_decline	Fit Power Law Exponential (PLE) decline model (Ilk et al., 2008)
fit_duong_decline	Fit Duong decline model for fracture-dominated flow (Duong, 2011)
fit_sepd_decline	Fit Stretched Exponential (SEPD) decline model (Valko, 2009)
forecast_advanced_decline	Forecast production using PLE, Duong, SEPD, or THM models

PVT Correlations (5 tools)

Tool	Description
calculate_pvt_properties	Black-oil PVT: Pb, Bo, Rs, viscosity, Z-factor (Standing, Vasquez-Beggs, Petrosky-Farshad)
calculate_bubble_point	Bubble point pressure from Standing's correlation
calculate_oil_co	Oil compressibility above and below bubble point (Vasquez-Beggs)
calculate_brine_pvt	Brine PVT: density, viscosity, FVF, compressibility (McCain, Osif)
calculate_gas_z	Gas Z-factor with Hall-Yarborough or Dranchuk-Abou-Kassem; Sutton or Piper pseudocriticals

Petrophysics (12 tools)

Tool	Description
calculate_vshale	Shale volume from gamma ray (linear, Larionov, Clavier)
calculate_density_porosity	Porosity from bulk density log
calculate_sonic_porosity	Porosity from sonic log (Wyllie, Raymer-Hunt-Gardner)
calculate_nd_porosity	Quick-look neutron-density porosity (RMS method)
calculate_effective_porosity	Effective porosity from total porosity and shale volume
calculate_archie_sw	Water saturation using Archie equation (clean sands)
calculate_simandoux_sw	Water saturation using Simandoux equation (shaly sands)
calculate_indonesian_sw	Water saturation using Indonesian equation (high-Vshale formations)
calculate_permeability_timur	Permeability estimate using Timur (1968)
calculate_permeability_coates	Permeability estimate using Coates (1991)
calculate_net_pay	Net pay determination with porosity, Sw, and Vshale cutoffs
calculate_hpt	Hydrocarbon pore thickness (HPT)

Reservoir Engineering (6 tools)

Tool	Description
pz_analysis	Gas material balance: P/Z vs cumulative gas production (OGIP estimation)
havlena_odeh	Oil material balance: Havlena-Odeh straight-line method (drive mechanism ID)
volumetric_ooip	Volumetric Original Oil In Place
volumetric_ogip	Volumetric Original Gas In Place
recovery_factor	Recovery factor from cumulative production and OOIP/OGIP
radius_of_investigation	Radius of investigation for well tests (Lee, 1982)

Drilling Engineering (11 tools)

Tool	Description
calculate_hydrostatic_pressure	Hydrostatic pressure (P = 0.052 * MW * TVD)
calculate_ecd	Equivalent circulating density
calculate_formation_pressure_gradient	Formation pressure gradient as ppg equivalent
calculate_kill_mud_weight	Kill mud weight for well control
calculate_icp_fcp	Initial and Final Circulating Pressures (Driller's method)
calculate_maasp	Maximum Allowable Annular Surface Pressure
calculate_annular_velocity	Annular velocity
calculate_nozzle_tfa	Total flow area of bit nozzles
calculate_bit_pressure_drop	Pressure drop across the bit
calculate_burst_pressure	Internal burst pressure (Barlow with API tolerance)
calculate_collapse_pressure	Collapse pressure rating per API 5C3

Production Engineering (7 tools)

Tool	Description
calculate_beggs_brill	Beggs & Brill (1973) multiphase pressure drop in pipes
calculate_turner_critical	Turner et al. (1969) critical rate for gas well liquid unloading
calculate_coleman_critical	Coleman et al. (1991) critical rate for liquid loading
calculate_hydrate_temp	Hydrate formation temperature (gas-gravity method)
calculate_hydrate_inhibitor	Hydrate inhibitor dosing (Hammerschmidt equation)
calculate_erosional_vel	Erosional velocity per API RP 14E
calculate_choke_flow	Choke flow rate using Gilbert correlation (1954)

Economics (8 tools)

Tool	Description
calculate_well_economics	Full DCF analysis: NPV, IRR, payout, profitability index
calculate_npv	Net Present Value from monthly cash flows
calculate_irr	Internal Rate of Return via bisection
calculate_pv10	PV10 (SEC standard present value at 10% discount)
calculate_breakeven_price	Breakeven oil price (minimum price for NPV = 0)
calculate_operating_netback	Operating netback per BOE
calculate_payout_period	Payout period from monthly cash flows
calculate_price_sensitivity	NPV across multiple price scenarios for sensitivity analysis

Nodal Analysis & Ratios (2 tools)

Tool	Description
calculate_ratios	Producing ratios: GOR, WOR, water cut; well type classification
run_nodal_analysis	IPR/VLP intersection for operating point (Vogel IPR)

Unit Conversions (2 tools)

Tool	Description
convert_oilfield_units	Convert between oilfield and SI units (pressure, volume, density, temperature, etc.)
list_oilfield_units	List all supported unit categories and conversions

Well Trajectory (5 tools, optional)

Requires pip install petro-mcp[trajectory] (uses welleng).

Tool	Description
calculate_well_survey	Well trajectory using minimum curvature method
calculate_dogleg_severity	Dogleg severity between two survey stations
calculate_vertical_section	Project trajectory onto a vertical section plane
calculate_wellbore_tortuosity	Wellbore tortuosity index from survey data
check_well_anticollision	Separation check between two wells at closest approach

Decline Curve Analysis

The decline curve tools are physics-constrained:

• b-factor bounded to [0, 2] (physical range for Arps models)
• Non-negative rates enforced throughout
• Six models: exponential, hyperbolic, harmonic, modified hyperbolic, Duong, PLE, SEPD
• Advanced models (PLE, Duong, SEPD, THM) use petbox-dca for the forward model
• Returns R-squared, parameter uncertainties, and residual statistics

Production Data

Accepts CSV files with flexible column naming:

• Date column: date, Date, DATE
• Oil: oil, oil_rate, BOPD
• Gas: gas, gas_rate, MCFD
• Water: water, water_rate, BWPD
• Well name: well_name, well, Well Name

Prompt Templates

Built-in prompt templates for common workflows:

Prompt	Description
analyze_decline	Full decline analysis with model comparison and EUR
compare_completions	Compare completion effectiveness across wells
summarize_logs	Summarize log suite with pay zone identification
production_anomalies	Detect rate changes, shut-ins, water breakthrough
calculate_well_eur	Step-by-step EUR calculation with confidence intervals

Resources

Resource URI	Description
wells://list/{directory}	Browse wells in a directory of LAS/CSV files
wells://production/{file_path}	Per-well production summary from a CSV file

Example Data

The examples/ directory includes:

• sample_well.las -- Synthetic Wolfcamp well log (GR, RHOB, NPHI, ILD, SP)
• sample_production.csv -- 36 months of decline data for 3 Permian Basin wells
• usage_examples.md -- Detailed usage examples

Example Output

Prompt: "Read the LAS file at examples/sample_well.las and summarize the curves"

Well: Wolfcamp A-1H (Spraberry Trend, Midland County, TX)
Depth range: 5000-5020 ft, 0.5 ft step (41 samples)

+-------+------+----------------------------+---------------+
| Curve | Unit |        Description         |     Range     |
+-------+------+----------------------------+---------------+
| GR    | GAPI | Gamma Ray                  | 22-126        |
| RHOB  | G/CC | Bulk Density               | 2.53-2.67     |
| NPHI  | V/V  | Neutron Porosity           | 0.09-0.23     |
| ILD   | OHMM | Deep Induction Resistivity | 3.9-175       |
| SP    | MV   | Spontaneous Potential      | -30.5 to -2.0 |
+-------+------+----------------------------+---------------+

Quick interpretation:
- Shale zones (~5002-5005 ft): High GR (>100), low resistivity,
  high NPHI -- classic shale signature.
- Clean/tight zones (~5008-5010 ft): Low GR (<30), high resistivity
  (>100 ohm-m), low NPHI -- likely tight carbonate, potentially
  hydrocarbon-bearing.

Hosted API (RapidAPI)

Don't want to run the server yourself? Use the hosted API -- free tier available, no setup required.

Subscribe on RapidAPI -- 16 endpoints for decline curves, PVT, petrophysics, drilling, and economics.

Plan	Price	Requests/month
Free	$0	1,000
Pro	$49/mo	100,000
Ultra	$99/mo	1,000,000

curl -X POST "https://petro-mcp.p.rapidapi.com/api/v1/decline/fit" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"production_data":[{"time":0,"rate":1000},{"time":1,"rate":850},{"time":2,"rate":730}]}'

Also available as interactive web tools at tools.petropt.com.

REST API (Self-Hosted)

petro-mcp includes a FastAPI service that exposes the calculation engines as REST endpoints. This powers tools.petropt.com -- the web frontend calls these endpoints instead of re-implementing formulas in JavaScript.

Quick start

pip install petro-mcp
petro-api              # starts on http://localhost:8000
# or: uvicorn petro_mcp.api.app:app --reload

Endpoints

Group	Endpoint	Description
DCA	POST /api/v1/decline/fit	Fit Arps decline curve to production data
DCA	POST /api/v1/decline/eur	Calculate EUR from decline parameters
DCA	POST /api/v1/decline/forecast	Generate production forecast
PVT	POST /api/v1/pvt/properties	Black-oil PVT properties (Standing, Vasquez-Beggs, Petrosky-Farshad)
PVT	POST /api/v1/pvt/bubble-point	Bubble point pressure
PVT	POST /api/v1/pvt/z-factor	Gas Z-factor (Hall-Yarborough, Dranchuk)
Petrophysics	POST /api/v1/petrophys/archie	Water saturation (Archie)
Petrophysics	POST /api/v1/petrophys/porosity	Density porosity
Petrophysics	POST /api/v1/petrophys/vshale	Shale volume from gamma ray
Drilling	POST /api/v1/drilling/hydrostatic	Hydrostatic pressure
Drilling	POST /api/v1/drilling/ecd	Equivalent circulating density
Drilling	POST /api/v1/drilling/kill-sheet	Kill mud weight + ICP/FCP
Economics	POST /api/v1/economics/npv	Net Present Value
Economics	POST /api/v1/economics/well-economics	Full DCF analysis

Interactive docs at http://localhost:8000/docs (Swagger UI).

Example

curl -X POST http://localhost:8000/api/v1/decline/eur \
  -H "Content-Type: application/json" \
  -d '{"qi": 800, "Di": 0.06, "b": 1.2}'

Limitations

• LAS 2.0 only -- LAS 3.0 and DLIS formats are not yet supported
• Simplified nodal analysis -- Uses Vogel IPR and a simplified friction model. Results are directional/screening-level, not suitable for detailed well design
• CSV production data only -- No database, WITSML, or API connectors yet
• No visualization -- Returns JSON data only, no plots

Development

git clone https://github.com/petropt/petro-mcp.git
cd petro-mcp
pip install -e .
pip install pytest
pytest tests/ -v

Contributing

Contributions are welcome. Please:

1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Submit a pull request

Areas where contributions are especially valuable:

• WITSML real-time data support
• Reservoir simulation output readers (Eclipse, OPM Flow)
• OSDU API connector
• Well spacing and interference analysis
• Additional multiphase flow correlations

License

MIT License. See LICENSE for details.

Need More?

petro-mcp covers single-well analysis workflows. For advanced capabilities, Groundwork Analytics offers:

• Multi-well batch analysis and ranking
• Probabilistic EUR (P10/P50/P90)
• Database integration (Enverus, IHS, WITSML)
• Custom AI workflows for your engineering team

Visit petropt.com or reach out at info@petropt.com

About

Built by Groundwork Analytics

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• X/Twitter: @petroptai