• Reservoir Characterization Indices (RCI)

Key reservoir properties (matrix permeability, oil-in-place, etc) for reservoir characterization, landing optimization, and reserves calculation.

Geochemistry-derived key reservoir properties (matrix permeability, oil-in-place, etc) for reservoir characterization, landing optimization and reserves calculation

Data mining the unique patterns in geochemical fingerprint data from the cuttings or core samples, RevoChem has developed a group of Reservoir Characterization Indices (RCI), including reservoir quality index (RQI) as a matrix permeability indicator, and oil-in-place index (OIPI). The RCI analysis provides an independent dataset derived solely from oil extracted from cuttings or core samples, while petrophysical analysis analyzes the rock itself. Due to the Physical Extraction method, where only the mobile oil portion is extracted, the OIPI better represents the producible oil in contrast to the Dean Stark extraction method which removes both mobile and immobile oil portions.

 

• Production Allocation (PA) & Drainage Frac Height

Quantitatively allocate oil to producing zones through time to optimize well stacking & spacing, completion design, and targeted EOR

Geochemistry-derived key reservoir properties (matrix permeability, oil-in-place, etc) for reservoir characterization, landing optimization and reserves calculation.

When the vertical baseline is profiled through cuttings or core to provide geochemical characteristics of each formation, the drainage frac height can be quantified accurately using the Production Allocation (PA) technique down to ~10-15' accuracy vertically. The produced oil samples are collected and back-allocated to their contributing formations represented by the baseline profile based on the high-resolution GCXGC geochemical fingerprint data.

 

• Similarity Index (SI)

Semi-quantitative characterization of well communication and DRV for spacing and completion optimization

In lieu of lateral cuttings, RevoChem has developed a semi-quantitatively tool to evaluate DRV and well communication. We know that the geochemical fingerprints of each oil sample are determined by the drainage rock volume (DRV) of its producer, therefore, the more similar two oils are, the more similar the DRV of its producer. SI is calculated by recognizing the similarity of two oil samples. The higher the SI of the two oil samples, the more similar the DRV of the two producers. SI can also be used to indicate potential well communication because two inter-communicated wells should also show higher than normal similarity in their produced oils.

 

• Additional Analysis

Chemical fingerprinting using volatile organic compounds (VOCs) in medical, food science, and environmental applications

Analysis of VOCs (volatile organic compounds) have applications in medical, food, and environmental fields as well. The VOCs in breath are metabolites released from blood. Breath VOCs reflect physiological status and are correlated with various diseases and their stages. VOCs in coffee and wine, for example, contribute to the aroma and can be analyzed to identify and determine the origin of both desired and undesired aromas, verification and authentication. Finally, the origin of an oil sample can be traced based on its geochemical fingerprint data. If operator can register oils from certain producers as net-zero oils, we can certify the source of an oil sample whether it is coming from any registered net-zero wells.

High-resolution, High-fidelity Geochemical Fingerprinting Technology

Cores/Cuttings High-resolution High-fidelity Comprehensive Geochemical Fingerprint

• True Representation of Producible Oil in Rock: Cores and cuttings are analyzed using our patented extraction technology* (no organic solvent is involved), minimizing disinformation from non-recoverable hydrocarbons
• High sensitivity/resolution of our technology allows use of cuttings when core is not available

 

Produced Oil High-resolution High-fidelity Comprehensive Geochemical Fingerprint

• High Resolution: Our proprietary technology is capable of revealing thousands of hydrocarbon compounds in one analysis, far more powerful than traditional geochemical methods
• High Fidelity: Minimal sample preparation is involved in our innovative analytical procedure. Loss of compounds and distorted quantification due to pre-analysis separation are eliminated

 

Production Solutions Powered by Cutting-edge Data Science

Geochemical fingerprint data from produced oil, cores, and cuttings carry tremendous amount of information about oil-source correlation, subsurface fluid flow, and surface production issues, We developed software** using cutting-edge data science to decipher crucial information such as drainage volume, well communication, and in-situ phase behavior, enabling optimized field development decisions including well stacking & spacing, completion design, and EOR/IOR timing and options

Non-disruptive Sampling

• No equipment installation is required
• Oil samples are collected at the separator without interruption of production

Fast Turnaround Time and Cost Efficiency

• Analysis of one sample can be completed in hours. Processed data can be provided timely for your quick decision-making in the field, costing only a fraction of traditional reservoir monitoring & diagnostic tools

Geochemical Fingerprinting Technology vs. Other Reservoir Monitoring Tools

	Cost	Instrument installed on Well	Preparation Time	One time or long-term Monitoring	Data Density
Geochemical Fingerprinting	$	No	Zero (collect produced oil at any time)	Long-term	High
Microseismic	$$	Yes	1+ year	One Time	Medium
Fiber-optics	$$$	Yes	1+ year	Multiple times in early stage	High
Tracer	$$	Yes (tracer dose)	~3 month	Long-term	Medium