drilling-logistics

Optimize oil and gas drilling operations with Python-based scheduling and logistics models.

56|16|Updated Oct 18, 2025
One-click install
npx skills add https://github.com/kishorkukreja/awesome-supply-chain --skill drilling-logistics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: drilling-logistics
Source: https://github.com/kishorkukreja/awesome-supply-chain/tree/main/skills/drilling-logistics
Command: npx skills add https://github.com/kishorkukreja/awesome-supply-chain --skill drilling-logistics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, pulp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the complex logistics of oil and gas drilling operations, from rig scheduling to material management, aiming to reduce costs and minimize downtime.

Core Features & Use Cases

  • Rig Scheduling: Optimizes the assignment and sequencing of rigs to wells to minimize project duration and cost.
  • Materials Management: Manages tubular inventory and drilling fluid logistics to ensure timely availability and cost-effectiveness.
  • Offshore Logistics: Schedules supply vessels for efficient cargo delivery to offshore rigs.
  • NPT Reduction: Analyzes and recommends strategies to reduce non-productive time.
  • Use Case: A company needs to plan a multi-well drilling campaign in the Permian Basin. This Skill can determine the optimal rig schedule, forecast mud and tubular requirements, and plan supply vessel movements to ensure the project stays on time and within budget.

Quick Start

Use the drilling-logistics skill to optimize the rig schedule for wells A, B, and C using the provided rig and drilling time data.

Frequently Asked Questions about drilling-logistics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize rig scheduling for a multi-well drilling campaign?

Optimize rig scheduling by assigning and sequencing rigs to wells using Python-based models and analytical frameworks. This minimizes overall project duration and reduces drilling costs across the campaign.

What's the best way to manage drilling fluid logistics and tubular inventory?

Manage drilling fluid logistics and tubular inventory by forecasting material requirements and ensuring timely availability. Python-based optimization models handle material procurement to keep well planning cost-effective.

Can I use Python and PuLP to reduce non-productive time in oil and gas operations?

Yes, you can use Python with PuLP, NumPy, and Pandas to reduce NPT. The Skill analyzes drilling operations and recommends strategies to minimize downtime during rig coordination and well planning.

How do I schedule supply vessels for offshore drilling rigs?

Schedule offshore supply vessels by modeling cargo delivery requirements to offshore rigs. The Skill uses analytical frameworks to plan efficient vessel movements and ensure timely material delivery.

Does this approach support well planning in the Permian Basin?

Yes, this approach supports well planning in the Permian Basin. It determines optimal rig schedules, forecasts mud and tubular requirements, and plans supply logistics to keep projects on time and within budget.

What limitations should I consider when using optimization models for drilling logistics?

Optimization models for drilling logistics require accurate rig and drilling time data to function effectively. Limitations arise from incomplete material procurement data or unpredictable offshore vessel scheduling constraints.