Petropt/Petro

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MCP server that gives LLMs access to petroleum engineering data and tools. Parse well logs, query production data, fit decline curves, calculate EUR, and run no

автор: petropt

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Описание

MCP server that gives LLMs access to petroleum engineering data and tools. Parse well logs, query production data, fit decline curves, calculate EUR, and run nodal analysis -- all through natural language with any MCP-compatible AI assistant.

README

Python 3.10+ License: MIT 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

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:

Fork the repository
Create a feature branch
Add tests for new functionality
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 [email protected]

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