Decision-Grade Reservoir Simulation-Driven Field Development Planning (FDP) Studies
Integrated Asset Modeling, AI-Accelerated Reservoir Simulation, and Probabilistic (P10/P50/P90) Analysis for Capital-Efficient Field Development Decisions — Worldwide
Assign your company's next major field development capital decision to A&A, and let the high-level, seasoned reservoir engineers of the A&A Consulting Team build the decision-grade simulation foundation your management, equity partners, and lenders can rely on.
Avasthi & Associates, Inc. (A&A) is an independent petroleum engineering and geoscience consulting firm. A&A does not sell reservoir-simulation software, cloud-computing platforms, or AI/analytics tools — our only business is expert technical consulting, which means the assumptions, workflows, and conclusions behind your decision-grade FDP study are never influenced by a stake in any particular vendor or technology.
The A&A Consulting Team of high-level and seasoned consultants is available to conduct Decision-Grade Reservoir Simulation-Driven Field Development Planning (FDP) studies for clients around the world, whenever requested. The scope and depth of each study are tailored to the client's objectives, available data, and the current status of the field — but every A&A decision-grade FDP study is built around the same rigorous framework, defined before the study begins:
• Primary Objective: Mitigate capital risk and support development CAPEX approval
• Uncertainty Approach: Multi-model probabilistic ensembles (P10/P50/P90)
• Scope of Model: Integrated Asset Model (reservoir + well + surface facility)
• Technology Stack: Next-generation parallel/cloud computing and AI-based reservoir proxies
The Four Technical Phases of a Decision-Grade FDP Study
Developing a comprehensive field development plan (FDP) built on decision-grade simulation modeling requires four distinct technical phases:
1. Static Subsurface Characterization
• Data Synthesis: Integrating well logs, core data, seismic, and production history into a single, consistent dataset
• Petrophysical Mapping: Distributing rock properties — porosity, permeability, and saturation — across the reservoir
• Structural Geological Modeling: Building the framework of faults, horizons, and depositional geometry that controls fluid movement
2. Dynamic Model Calibration (History Matching)
• Historical Alignment: Matching simulated pressures and rates against actual field production and injection history
• Parameter Tuning: Adjusting permeability, transmissibility, and aquifer strength within geologically reasonable bounds to improve the match
• Global vs. Local Fit: Balancing field-wide (global) history-match quality against well-by-well (local) accuracy, so the model performs reliably at both scales
3. Scenario Forecasting & Development Optimization
• Well Architecture: Optimizing well count, placement, spacing, and trajectory (vertical, horizontal, or multilateral)
• Depletion Strategy: Evaluating primary depletion, pressure maintenance, and injection (water/gas) strategies
• Facility Constraint & Debottlenecking Analysis: Ensuring the subsurface production plan does not overload surface processing, compression, or export capacity
4. Uncertainty, Sensitivity & Economic Assessment
• High-Impact Parameter (Tornado) Analysis: Identifying which subsurface and development uncertainties most affect recovery and value
• Probabilistic Range (P10/P50/P90) Development: Generating multi-model ensembles to define low-, mid-, and high-case development outcomes
• Economic Evaluation: Translating each scenario into NPV, IRR, breakeven price, and CAPEX/OPEX profiles to support the investment decision
Integrated Asset Modeling & AI-Accelerated Simulation
The modern landscape of field development planning relies heavily on two fields of computational advancement to accelerate decision-making timelines:
• Integrated Asset Modeling (IAM): Coupling the reservoir model to well and surface-network models so the plan reflects true field deliverability — preventing engineers from designing a subsurface recovery plan that overloads surface processing facilities
• AI & Machine Learning Proxies: The A&A Consulting Team deploys Surrogate Reservoir Models (SRMs) — machine-learning proxies trained on full-physics simulation runs — to approximate complex reservoir-simulation results in seconds. This speed allows operators to screen thousands of candidate well-placement and development scenarios that would be impractical to evaluate with full-physics models alone
Software & Technical Tools
The high-level, seasoned reservoir engineers of the A&A Consulting Team are expert users of the industry-standard software and technical tools used for state-of-the-art decision-grade reservoir simulation and field development planning studies, including:
• Eclipse / INTERSECT, tNavigator, CMG (IMEX/GEM/STARS), VIP: For static and dynamic reservoir simulation and history matching
• Petrel, RMS: For static geological and petrophysical modeling
• GAP, PIPESIM, Avocet Integrated Asset Modeler: For coupled reservoir-well-facility (Integrated Asset Model) simulation
• Python, TensorFlow, MATLAB: For developing and training AI/machine-learning Surrogate Reservoir Model (SRM) proxies
• Cloud/HPC platforms: For parallel, high-volume probabilistic ensemble (P10/P50/P90) simulation runs
Deliverables
The high-level, seasoned consultants of the A&A Consulting Team provide the deliverables required for sound, defensible capital decision-making, including, but not limited to:
• A documented, decision-grade Field Development Plan/Model (FDP/FDM), with all assumptions, workflows, and data sources clearly stated
• Probabilistic (P10/P50/P90) production, reserves, and economic forecasts
• Well-count, well-placement, and facility-sizing recommendations, tested against surface and subsurface constraints
• Presentation-ready results and executive summaries for management, equity partners, financial institutions, and regulatory authorities
Whenever requested, the A&A Consulting Team will be delighted to present the results of the investigation and the customized Field Development Plan/Model (FDP/FDM) for your company's oil & gas field — not only to your company's management, but also to your company's equity partners, financial institutions, and/or the appropriate regulatory authorities — for their approval, and to answer any questions that they may have about the customized FDP/FDM.
A rigorous, decision-grade FDP study, built and defended by A&A's high-level, seasoned reservoir engineers, helps your company avoid the costly missteps — an undersized facility, a poorly placed well, an unsupported CAPEX request — that a lower-fidelity study can miss, before capital is committed.
Related A&A Service: For PetroVR-based field development plans and models — including notional, ready-to-sanction, and optimized FDPs, and a full investment-grade FDP/FDM report — please see A&A's Oil & Gas Field Development Planning (FDP) and Field Development Modeling (FDM) page.
To put the high-level, seasoned consultants, and subject matter experts (SMEs), of the A&A Consulting Team to work on your company's challenging “Decision-Grade Reservoir Simulation-Driven Field Development Planning (FDP)” studies, around the world, please contact us.
