PRE-PROCESSING CHARACTERIZATION OF RESIDUAL OIL

• US 20170192126A1
• Filed: 01/04/2017
• Published: 07/06/2017
• Est. Priority Date: 01/05/2016
• Status: Active Grant

• Current Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Original Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Inventors: Koseoglu, Omer Refa
• Granted Patent: US 10,641,759 B2
• Time in Patent Office: Days
• CPC Class Codes: C10B 55/00 Coking mineral oils, bitumen, tar, and the like or mixtures thereof with solid carbonaceous material cracking oils C10G
• CPC Class Codes: C10B 57/045 containing mineral oils, bitumen, tar or the like or mixtures thereof
• CPC Class Codes: C10G 9/005 Coking (in order to produce liquid products mainly)
• CPC Class Codes: G01N 33/2823 Raw oil, drilling fluid or polyphasic mixtures

Abstract

A system and a method for calculating the coke, gas, and distillate yields that could be derived from residual oil if it were to be subjected to processing methods such as delayed coking, hydroprocessing, gasification, solvent deasphalting, and fluid catalytic cracking, without first performing those processing methods.

Claims

1. A system for evaluating a residual oil sample and calculating the coke, gas, and distillate yields that could be derived from the residual oil if it were to be subjected to delayed coking, without first performing delayed coking, the system comprising:

a non-volatile memory device that stores calculation modules and data, the data including separately provided Conradson carbon residue value or micro carbon residue value of the residual oil sample;

a processor coupled to the non-volatile memory;

a first calculation module that retrieves the carbon residue value from the non-volatile memory, that calculates coke yield as a function of the carbon residue value, and that stores the coke yield into the non-volatile memory;

a second calculation module that retrieves the carbon residue value from the non-volatile memory, that calculates gas yield as a function of the carbon residue value, and that stores the gas yield into the non-volatile memory;

a third calculation module that retrieves the carbon residue value from the non-volatile memory, that calculates naphtha yield as a function of the carbon residue value, and that stores the naphtha yield into the non-volatile memory;

a fourth calculation module that retrieves the coke yield, gas yield, and naphtha yield from the non-volatile memory, that calculates light coker gas oil yield as a function of the coke yield, gas yield, and naphtha yield, and that stores the light coker gas oil yield into the non-volatile memory; and

a fifth calculation module that retrieves the coke yield, gas yield, naphtha yield, and light coker gas oil yield from the non-volatile memory, that calculates heavy coker gas oil yield as a function of the coke yield, gas yield, naphtha yield, and light coker gas oil yield, and that stores the heavy coker gas oil yield into the non-volatile memory.

2. The system of claim 1, wherein the data stored into the non-volatile memory further comprises the feedstock sulfur content and the feedstock metals content, and wherein the system further comprises:

a sixth calculation module that retrieves the feedstock sulfur content from the non-volatile memory, that calculates coke sulfur content as a function of the feedstock sulfur content, and that stores the coke sulfur content into the non-volatile memory; and

a seventh calculation module that retrieves the feedstock metals content and the coke yield from the non-volatile memory, that calculates coke metal content as a function of the feedstock metals content and the coke yield, and that stores the coke metal content into the non-volatile memory.

3. The system of claim 2, wherein the carbon value is the micro carbon residue value, and the residual oil sample contains a micro carbon residue value in the range of 0.01-50 W %, a sulfur level in the range of 0.01-10 W %, and a metals level in the range of 0.01-2000 ppmw

4. A method for evaluating a residual oil sample and calculating the coke, gas, and distillate yields that could be derived from the residual oil if it were to be subjected to delayed coking, without first performing delayed coking, the method comprising:

providing a computer comprising a processor coupled to a non-volatile memory, wherein the non-volatile memory stores calculation modules and data, the data including Conradson carbon residue or micro carbon residue value of the residual oil sample;

using the processor to retrieve the carbon residue value from the non-volatile memory, to calculate coke yield as a function of the carbon residue value, and to store the coke yield into the non-volatile memory;

using the processor to retrieve the carbon residue value from the non-volatile memory, to calculate gas yield as a function of the carbon residue value, and to store the gas yield into the non-volatile memory;

using the processor to retrieve the carbon residue value from the non-volatile memory, to calculate naphtha yield as a function of the carbon residue value, and to store the naphtha yield into the non-volatile memory;

using the processor to retrieve the coke yield, gas yield, and naphtha yield from the non-volatile memory, to calculate light coker gas oil yield as a function of the coke yield, gas yield, and naphtha yield, and to store the light coker gas oil yield into the non-volatile memory; and

using the processor to retrieve the coke yield, gas yield, naphtha yield, and light coker gas oil yield from the non-volatile memory, to calculate heavy coker gas oil yield as a function of the coke yield, gas yield, naphtha yield, and light coker gas oil yield, and to store the heavy coker gas oil yield into the non-volatile memory.

5. The method of claim 4, wherein the data stored into the non-volatile memory further comprises the feedstock sulfur content and the feedstock metals content, and wherein the method further comprises:

using the processor to retrieve the feedstock sulfur content from the non-volatile memory, to calculate coke sulfur content as a function of the feedstock sulfur content, and to store the coke sulfur content into the non-volatile memory; and

using the processor to retrieve the feedstock metals content and the coke yield from the non-volatile memory, to calculate coke metal content as a function of the feedstock metals content and the coke yield, and to store the coke metal content into the non-volatile memory.

6. The system of claim 5, wherein the carbon value is the micro carbon residue value, and the residual oil sample contains a micro carbon residue value in the range of 0.01-50 W %, a sulfur level in the range of 0.01-10 W %, and a metals level in the range of 0.01-2000 ppmw.