Reservoir Compartmentalization by Using Geochemical analysis

1. Topic: Reservoir Compartmentalization Assessment by Using Geochemical analysis
2. Define the background to the problem you are tackling; preferably state a question or hypothesis of some sort.
o Problem: Reservoir compartmentalization: refers to the presence of fluid flow barriers between two fluid sampling points.
o Significant variation of fluid type in the field: the oils in the field are mainly waxy black oils ranging between 20 and 31°API gravity. 
o Question or hypothesis: Example:
 How to detect reservoir compartmentalization using geochemical analysis?
 Why is there a significant variation of fluid types in different compartments?
 Are the oils in the same continuous reservoir or do they belong to separate reservoir compartments?
 How do the findings from the Jawdah field reservoir compartmentalization assessment impact reservoir exploration globally?
3. Explain the relevance and importance of what you intend to do; explain why anyone should actually care about the work you are planning to do. Justify the work you are planning to do. Do not simply assume that the reader considers your work to be important; persuade them that it is important.
o Example: As the production of oil becomes more expensive, the importance of developing advanced techniques to minimize uncertainties during extraction of hydrocarbon is vital. Analysing the faults and fluid behaviour within a single reservoir is also essential during appraisal and production phases, as faults can have a significant impact in developing a field, whereby the fluid quality play a key role in the production rate. However, faults can cause reservoir compartmentalization in a field, which be challenging to detect with limited data and analysis. The oil industry around the globe are currently investigating best approaches in predicting and identifying the implication of reservoir compartmentalization on fluid flow all over the field lifetime.

4. Define what you actually intend to do (give the work-plan) to solve the problem.
o The materials used in this research include 24 oil samples of around 10 ml from the Gharif and Al Khlata formations in the Jawdah field.
o 3 geochemical analysis will be used to interpret the 24 oil samples
 SARA analysis :(saturates, aromatics, resins, asphaltenes)
 Reservoir oil fingerprinting (ROF): is a combination of analytical and interpretive techniques that utilizes the "fingerprint" of oils to determine whether they are part of the same reservoir compartment.
 Biomarker analysis
o Two software’s will be utilized to interpret the generated data from the given 3 techniques.
 Xcalibur software
 Petrel software

5. Explain the type of results that you will produce.
o Whole-oil Gas chromatographic 
o Whole oil bulk composition
o Oil Chemical composition
o Whole Oil Carbon Isotope Analysis 
o Concertation of saturates, aromatics, resins and asphaltenes and plots illustrating ( saturated hydrocarbons vs aromatic hydrocarbons)
o Biodegradation rate
6. Explain how you will interpret the results.
o By integrating the newly generated data in order to understand and validate reservoir compartmentalization in Jawdah field using the following outcomes:
 Gas chromatography measurements on whole oils will be utilized for quantifying major saturated and aromatic compounds.
 Oil type (origin of the oil)
 Charge history
 Source-oil correlation
 Hydrocarbon thermal maturity
 Biodegradation
o Principle component analysis (PCA) will be used to screen peak height ratios, for the use in the oil correlations and to identify groups of similar oils.
o Comparing the data with 4 PVT reports from 4 wells across the Jawdah field.
7. Explain what training will be required.
o Example: Reservoir compartmentalization is consequently a key ambiguity that must be precisely measured throughout the assessment of oil reservoirs in the mandate to circumvent unanticipated compartmentalization at the fluid production stage. The training is mandatory for the capability to rationalize, visualize and describe the variety of fluid composition across the field willingness to advance the understanding of reservoir compartmentalization. Hence, training for analyzing data from biomarkers and oil fingerprinting is needed to provide an additional positive outlook of reservoir connectivity.