# US 2023/0054922 A1 · Asphaltene Onset Pressure Map

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- Number: US 2023/0054922 A1
- Document ID: US20230054922A1
- Status: Published application
- Kind: A1
- Application number: 17/863,041
- Filed: 2022-07-12
- Published: 2023-02-23
- Earliest claimed: 2021-08-17
- Assignees: Halliburton Energy Services, Inc.
- Applicants: Halliburton Energy Services, Inc.
- Inventors: Christopher Michael Jones; Rohin Naveena-Chandran; Anthony Herman VanZuilekom
- Web page: https://patentgrep.com/patent/US20230054922A1

## CPC

- E21B 47/06: Measuring temperature or pressure
- E21B 41/00: Equipment or details not covered by groups E21B15/00 - E21B40/00
- E21B 49/0875: {determining specific fluid parameters}
- E21B 2200/20: Computer models or simulations, e.g. for reservoirs under production, drill bits
- E21B 2200/22: Fuzzy logic, artificial intelligence, neural networks or the like
- E21B: EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS

## Abstract

A method and system for disposing a fluid sampling tool into a wellbore at a first location, taking a first fluid sample with the fluid sampling tool, identifying a first asphaltene onset pressure (AOP) using the first fluid sample, and moving the fluid sampling tool to a second location in the wellbore. The method may further include taking a second fluid sample with the fluid sampling tool, identifying a second AOP at the second location in the wellbore, and forming an AOP map based at least on the first AOP and second AOP. The system may include a fluid sampling tool with one or more probes for injecting the one or more probes into a wellbore and taking a plurality of fluid samples from the wellbore and an information handling system.

## Claims

### Claim 1

A method comprising:
disposing a fluid sampling tool into a wellbore at a first location;
taking a first fluid sample with the fluid sampling tool;
identifying a first asphaltene onset pressure (AOP) using the first fluid sample;
moving the fluid sampling tool to a second location in the wellbore;
taking a second fluid sample with the fluid sampling tool;
identifying a second AOP at the second location in the wellbore; and
forming an AOP map based at least on the first AOP and second AOP.

### Claim 2 (depends on 1)

The method of claim 1, wherein at least the first AOP and the second AOP are used in a first Neural Network (NN) model to form the AOP map.

### Claim 3 (depends on 1)

The method of claim 1, further comprising forming a reservoir simulation based at least on the AOP map.

### Claim 4 (depends on 3)

The method of claim 3, wherein at least the AOP map is used in a second NN model to form the reservoir simulation.

### Claim 5 (depends on 3)

The method of claim 3, further comprising making a production decision based at least on the reservoir simulation.

### Claim 6 (depends on 5)

The method of claim 5, wherein at least the reservoir simulation is used in a third NN model to form the production decision.

### Claim 7 (depends on 1)

The method of claim 1, wherein the first location and the second location are separated by vertical depth, lateral distance, extent pressure across a field, different temperature, or other state condition.

### Claim 8 (depends on 1)

The method of claim 1, wherein identifying the first AOP, identifying the second AOP, and forming the AOP map is processed in real time.

### Claim 9 (depends on 1)

The method of claim 1, wherein identifying the first AOP and second AOP comprises performing a gravimetric test with the fluid sampling tool at the first location and the second location.

### Claim 10 (depends on 9)

The method of claim 9, wherein performing the gravimetric test comprises determining a first Upper Asphaltene Onset Pressure (UAOP), a Asphaltene+Resin-Flocculation Onset Pressure (ARFO), or a Bubble Point (BP).

### Claim 11 (depends on 10)

The method of claim 10, wherein at least the UAOP, the ARFO, or the BP from the gravimetric test are used in a fourth NN model to identify the first AOP or the second AOP.

### Claim 12

A system comprising:
a fluid sampling tool with one or more probes for injecting the one or more probes into a wellbore and taking a plurality of fluid samples from the wellbore; and
an information handling system for:
identifying a first asphaltene onset pressure (AOP) from at least the plurality of fluid samples;
identifying a second AOP from at least the plurality of fluid samples; and
forming an AOP map from the first AOP and second AOP.

### Claim 13 (depends on 12)

The system of claim 12, wherein at least the first AOP and the second AOP are used in a first Neural Network (NN) model to form the AOP map.

### Claim 14 (depends on 12)

The system of claim 12, wherein the information handling system forms a reservoir simulation based at least on the AOP map.

### Claim 15 (depends on 14)

The system of claim 14, wherein at least the AOP map is used in a second NN model to form the reservoir simulation.

### Claim 16 (depends on 14)

The system, of claim 14, wherein the information handling system makes a production decision based at least on the reservoir simulation.

### Claim 17 (depends on 16)

The system of claim 16, wherein at least the reservoir simulation is used in a third NN model to form the production decision.

### Claim 18 (depends on 12)

The system of claim 12, wherein the information handling systems processes the first AOP, the second AOP, and the AOP map in real time.

### Claim 19 (depends on 12)

The system of claim 12, wherein the fluid sampling tool performs a gravimetric test and the information handling system identifies the first AOP and the second AOP from the gravimetric test.

### Claim 20 (depends on 19)

The system of claim 19, wherein the gravimetric test determines a first Upper Asphaltene Onset Pressure (UAOP), Asphaltene+Resin-Flocculation Onset Pressure (ARFO), or a Bubble Point (BP).