Reservoir Characterisation and Modelling Study Notes
Volumetrics and Uncertainty Analysis
Lecture Outline
Prospect Evaluation
Volumetric Calculation
Estimation of Resource Uncertainty
Resource Reporting
Key Concepts in Prospect Evaluation
Prospect Reserves: Defined by Size & Volume
Chance of Success (COS): Probability of the prospect being viable
Project Profitability: Related to economics of the project
Explorer Responsibilities
Identifying prospects
Measuring and estimating the following:
Reserves distribution, contingent on success
Confidence level reflecting chance of success
Profitability of ventures in terms of flow rate, price schedule, and economic considerations
Volumetric Analysis Methods
Deterministic Methods:
STOIIP Calculation
Reserves definition
Ultimate Recovery
Net Oil Sands
Area Measurements
Gross Rock Volume calculations
Probabilistic Methods:
Expectation Curve & Probability of Success
Uncertainty analysis
Monte Carlo simulations
Graph methods
Calculating Oil Volume
STOIIP Calculation:
Deterministic: Single value estimation
Quick look estimation primarily yields a single value
Sparse data = using field average data
Probabilistic: A statistical range of values providing a distribution considering uncertainties.
Hydrocarbon Volumes Understanding
Relationship defined as:
STOIIP/GIIP = Quick look estimation (single value)
Factors affecting these calculations include:
Area or Size
Net/Gross ratio (N/G)
Porosity
Saturation (Oil/Gas)
Shrinkage or Expansion Factors
Recovery Factors (critical for reserves distinguishing)
Key Volume Calculations
Bulk Rock Volume (GRV):
where A = Area and H = HeightNet Rock Volume:
Bulk Pore Volume:
where P = PorosityNet Pore Volume:
where Sw = Water SaturationSTOIIP:
B_o: Oil shrinkage factor or Formation volume factor
Ultimate Reserves (UR):
Derives reserves using:
Representational Methods
Area-Depth method:
Used to calculate reservoir thickness across geographic regions.
Area-Thickness Method:
Engaging graphical tools to visualize the model of volumetrics across a defined reservoir.
Volumetric Uncertainty Analysis
Identified Uncertainties in volume determinations include:
Reservoir structure and petrophysical properties
Fluid properties and their distribution
Initial state of fluids under varying conditions
Quantifying Uncertainty
Necessitated to enhance accuracy and manage risk includes identifying uncertainties within:
Area or Size
N/G
Porosity
Saturation (Oil/Gas)
Shrinkage or Expansion Factors
Estimation Challenges
All estimations of reserves incorporate uncertainty:
Often made without concrete data leading to risk in accuracy.
Probability Density Function (PDF)
Defined as: A function that describes the likelihood of continuous values falling within a particular range.
Utilized in analyzing reserve uncertainties and distributions comprehensively.
Resource Classification and Reporting Guidelines
Standard Terminology:
Proved (P1): Lowest Volume - Lowest Uncertainty
Probable (P2): Mid Volume - Mid Uncertainty
Possible (P3): Highest Volume - Highest Uncertainty
PETRONAS Definitions for resource classification:
Total Petroleum Initially In-Place (TPIIP)
Discovered and Undiscovered Petroleum Initially In-Place Definitions
Unit Conversions in Volumetrics
Standard conversions for volumetric calculations include:
1 square m = 2.471 x 10⁻⁴ Acres
1 square m = 10.76 square ft
1 cubic m = 7758 barrels
1 barrel = 159 liters
Concluding Notes
Presentation Ending: Thank You
Recognition of the Highest and Lowest uncertainty in estimations emphasizes the importance of probabilistic approaches in estimating hydrocarbon resources effectively.