IP Library › Granted Patent US 11,815,503
Granted Patent B2
US 11,815,503 · App. 17/520,980 · Granted Nov 14, 2023

Determining source rock maturity based on hydrogen isotopes

Inventor: Feng Hu Lu (Dhahran, SA)
Assignee: Saudi Arabian Oil Company
G01N33/246G01N33/241
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Quick Facts
Patent No.
US 11,815,503
App. No.
17/520,980
Granted
Nov 14, 2023
Kind
B2
Abstract

A computer receives a measured wetness of and a measured δ 2 H value associated with a test gas sample from a hydrocarbon formation. The measured wetness is a molar ratio of heavy gas compounds over a total gas within the measured sample. The computer receives calculated wetnesses calculated δ 2 H values associated with a gas samples taken from one or more analogous hydrocarbon reservoirs. The measured wetness received for the test gas sample is identified from among the plurality of calculated wetnesses. The computer determines a corresponding δ 2 H value from among the calculated δ 2 H values that corresponds to the measured wetness of the test gas sample. The computer determines a predicted sample VR o (vitrinite reflectance equivalent) for the test gas sample based on the corresponding δ 2 H value and a correlation of δ 2 H values to VR o values. Hydrocarbons are produced from the hydrocarbon formation based on the predicted sample VR o .

Claims (18)

1. A method comprising:

receiving, by a computer system, a dataset comprising calculated wetnesses of and calculated δ 2 H values associated with hydrocarbon gasses;

determining, by the computer system, a reference line from the dataset;

plotting, by the computer system, the reference line on a plot;

plotting, by the computer system, a sample wetness of and a sample δ 2 H value associated with a received gas sample received from a hydrocarbon formation on the plot with the reference line to produce a plotted point;

increasing, by the computer system, a δ 2 H value of the plotted point to provide an adjusted plotted point so that a δ 2 H value of the adjusted plotted point matches the reference line;

determining, by the computer system, an adjusted δ 2 H value from the adjusted plotted point, wherein the adjusted δ 2 H value is the δ 2 H value of the adjusted plotted point; and

determining, by the computer system, a predicted sample VR o (vitrinite reflectance equivalent) for the received gas sample based on the adjusted δ 2 H value and a correlation of δ 2 H values to VR o values, the VR o values correlating with gas maturity.

2. The method of claim 1 , wherein the determined predicted sample VR o correlates to a maturity level associated with hydrocarbon presence, the method further comprising producing hydrocarbons from the hydrocarbon formation based on the correlated gas maturity.

3. The method of claim 1 , wherein the reference line is defined by:

δ 2 H( C 1 )=−0.35 W− 114.5

where δ 2 H (C 1 ) corresponds to values of δ 2 H of methane in the dataset, and “W” corresponds to the calculated wetnesses in the dataset.

4. The method of claim 1 , further comprising determining the wetness of the received gas sample by a gas chromatograph.

5. The method of claim 1 , wherein wetness is defined by the following equation:

W= 100( C 2+ C 3+ C 4+ C 5)/( C 1+ C 2+ C 3+ C 4+ C 5)

where “W” is a wetness percentage, where “C1” is a molar percentage of methane within a hydrocarbon gas, where “C2” is a molar percentage of ethane within the hydrocarbon gas, where “C3” is a molar percentage of propane within the hydrocarbon gas, where “C4” is a molar percentage of butane within the hydrocarbon gas, and where C5 is a molar percentage of pentane within the hydrocarbon gas.

6. The method of claim 1 , further comprising determining that a difference between the sample wetness and the reference line exceeds a specified threshold.

7. The method of claim 6 , wherein the threshold is greater than or equal to a 10% difference.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2021
From: LU, FENG HU
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 058056/0675 →
Continuity (1)
Related Publication 20230145385A1 · May 11, 2023
Cited By (2)
US 12,436,140 US 12,443,775