Well Spacing, Infill Drilling Optimization, and Drilling Inventory Prioritization

Well Spacing, Infill Drilling Optimization, and Drilling Inventory Prioritization

Goal of the analysis:

To determine optimal well spacing and prioritize drilling inventory for maximizing reservoir recovery and project economics.

Data required:

  • Historical production and pressure data
  • Reservoir properties (e.g., porosity, permeability, fluid characteristics)
  • Existing well performance metrics and decline curves
  • Geological and geophysical models
  • Drilling costs and completion design parameters
  • Economic assumptions (e.g., oil/gas price, discount rate)

Detailed step-by-step instruction on how to conduct the analysis:

1. Gather and organize production data: Collect well-by-well production histories, pressure information, and completion design records.

2. Build a reservoir model or update existing models: Integrate geological, geophysical, and petrophysical data to accurately represent the reservoir.

3. Analyze current well performance: Use decline curve analysis and other reservoir engineering techniques to identify how wells interact and deplete the reservoir.

4. Test various well spacing scenarios: Run simulation or analytical models under different spacing assumptions to see how production rates, recovery factors, and interference effects change.

5. Evaluate infill drilling opportunities: Identify potential locations for new wells that can enhance recovery without causing excessive interference or lower-than-expected well productivity.

6. Rank and prioritize drilling inventory: Compare each potential drilling location using economic indicators like Net Present Value (NPV) or Internal Rate of Return (IRR) to prioritize opportunities.

7. Review operational constraints: Incorporate surface facility limits, infrastructure availability, and regulatory requirements to refine the drilling plan.

Format of the output of analysis:

  • Summary tables and maps showing recommended well spacing patterns
  • Production forecasts and economic indicators (NPV, IRR) for various infill scenarios
  • Ranked inventory of drilling targets with associated capital requirements and projected outcomes
  • Recommendations for phased or sequential drilling approaches

How to interpret results:

  • Optimal well spacing typically balances maximizing total recovery with minimizing well-to-well interference and capital spending.
  • High-ranked drilling targets should offer stronger economic returns and faster payback, reflecting favorable reservoir properties or lower development costs.
  • Excessively tight well spacing or poorly chosen infill locations can lead to suboptimal recoveries, increased costs, and reduced overall project profitability.

Steps a company can take to improve on this measure:

1. Enhance reservoir characterization to better understand heterogeneities and refine spacing decisions.

2. Leverage advanced data analytics to detect production patterns and quickly identify optimal well spacing or infill opportunities.

3. Implement adaptive drilling programs where spacing decisions evolve in real time based on new well data and performance insights.

4. Collaborate across teams (reservoir engineering, geoscience, drilling) to ensure a holistic approach to spacing and prioritization.

5. Regularly revisit and update the analysis as new wells come online and more production data become available.

Request the PDF Download of How to Analyze an Upstream Oil Company

Table of Contents