IP Library Granted Patent US 12669053
Granted Patent B1
US 12669053 · App. 19/266,445 · Granted Jun 30, 2026

Hydrogen show assessment via advanced mud gas data

Inventors: Ruba M. Afifi (Dhahran, SA); Nikolaos A. Michael (Dhahran, SA)
Assignee: SAUDI ARABIAN OIL COMPANY
E21B49/08E21B47/00
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Quick Facts
Patent No.
US 12669053
App. No.
19/266,445
Granted
Jun 30, 2026
Kind
B1
Abstract

A computer-implemented method for quantifying and assessing hydrogen shows in geological formations includes receiving raw advanced mud gas data including hydrogen gas and total hydrocarbon concentrations for one or more geological formations in a geographical area, calculating a baseline concentration value of hydrogen gas for each geological formation and removing said baseline concentration value from the raw advanced mud gas data, constructing corrected hydrogen gas concentration curves via cleaning of the raw advanced mud gas data, transforming the corrected hydrogen gas concentration curves into corresponding hydrogen gas concentration indices to categorize hydrogen shows by strength, and grouping the hydrogen gas concentration indices by geographical location to identify potential sources of hydrogen gas for extraction operations.

Claims (57)

1 . A computer-implemented method for quantifying and assessing hydrogen shows in geological formations, the method comprising:

receiving raw advanced mud gas data including hydrogen gas and total hydrocarbon concentrations for one or more geological formations in a geographical area;

calculating a baseline concentration value of hydrogen gas for each geological formation and removing said baseline concentration value from the raw advanced mud gas data;

constructing corrected hydrogen gas concentration curves via cleaning of the raw advanced mud gas data;

transforming the corrected hydrogen gas concentration curves into corresponding hydrogen gas concentration indices to categorize hydrogen shows by strength; and

grouping the hydrogen gas concentration indices by geographical location to identify potential sources of hydrogen gas for extraction operations.

2 . The computer-implemented method of claim 1 , wherein cleaning of the raw advanced mud gas data includes:

assessing peaks in the raw advanced mud gas data compared to one or more standard deviations thereof; and

replacing outliers of the raw advanced mud gas data at said peaks with averaged concentration values from data points adjacent to said peaks.

3 . The computer-implemented method of claim 1 , wherein cleaning of the raw advanced mud gas data includes:

receiving additional data including mud type data, lithography data, rate of penetration data, or a combination thereof; and

constructing a discount function to correct for an overestimation of hydrogen gas in the advanced mud gas data based upon measurements of the additional data.

4 . The computer-implemented method of claim 1 , further comprising:

determining a ratio between hydrogen gas and other mud gases from the advanced mud gas data and offsetting the hydrogen gas concentration indices based upon said ratio.

5 . The computer-implemented method of claim 1 , further comprising:

constructing a geographical representation of the hydrogen gas concentration indices across the geological formations to identify potential hydrogen gas reservoirs for extraction operations.

6 . The computer-implemented method of claim 5 , further comprising:

constructing and identifying potential hydrogen gas migration pathways within the geographical representation, the potential hydrogen gas migration pathways enabling assessment of hydrogen gas presence and charge history for the geological formations.

7 . The computer-implemented method of claim 5 , further comprising:

performing or modifying extraction operations of hydrogen gas or hydrocarbons using the geographical representation of the hydrogen gas concentration indices and identified potential hydrogen gas reservoirs.

8 . A system for quantifying and assessing hydrogen shows in geological formations, the system comprising:

a data cleaning engine operable to receive advanced mud gas data and construct corrected hydrogen gas concentration curves, the data cleaning engine including:

a baseline concentration module operable to calculate a baseline concentration value of hydrogen gas for each geological formation and remove said baseline concentration value from the advanced mud gas data; and

a mud gas data interpretation engine operable to receive the corrected hydrogen gas concentration curves and perform further transformations to categorize hydrogen shows by strength, the mud gas data interpretation engine including:

an index value module operable to transform the corrected hydrogen gas concentration curves into corresponding hydrogen gas concentration indices, and

a mud gas weighting module operable to determine a ratio between hydrogen gas and other mud gases from the advanced mud gas data and offset the hydrogen gas concentration indices based upon said ratio,

wherein the hydrogen gas concentration indices represent a standardized, relative strength of each hydrogen show in the geological formations for potential hydrogen gas extraction operations.

9 . The system of claim 8 , further comprising:

a mapping engine operable to construct a geographical representation of the hydrogen gas concentration indices across the geological formations to identify potential hydrogen gas reservoirs for the potential hydrogen gas extraction operations.

10 . The system of claim 9 , wherein the mapping engine comprises:

a statistical compilation module operable to extract a maximum, a minimum, and an average hydrogen gas concentration index for each geological formation to identify potential hydrogen gas reservoirs for the potential hydrogen gas extraction operations.

11 . The system of claim 9 , wherein the mapping engine comprises:

a migration pathway generation module operable to construct and identify potential hydrogen gas migration pathways within the geographical representation, the potential hydrogen gas migration pathways enabling assessments of hydrogen gas presence and charge history for the geological formations.

12 . The system of claim 8 , wherein the data cleaning engine further includes:

a discount function module operable to construct a discount function to correct for an overestimation of hydrogen gas in the advanced mud gas data based upon additives, corrosion, drilling mud content, or any combination thereof.

13 . The system of claim 12 , wherein the data cleaning engine further receives mud type data, lithography data, rate of penetration data, or a combination thereof to be used in the discount function module in correcting for the overestimation of hydrogen gas.

14 . The system of claim 8 , wherein the data cleaning engine further includes:

a de-spiking module operable to assess peaks in the advanced mud gas data compared to a standard deviation thereof and to replace outliers at said peaks of the advanced mud gas data with averaged concentration values from data points adjacent to said peaks.

15 . The system of claim 8 , wherein the hydrogen gas concentration indices range from zero to one, wherein a hydrogen gas concentration index of 0.1 indicates a hydrogen gas concentration of about 500 ppm, and wherein a hydrogen gas concentration index of 1 indicates a hydrogen gas concentration of about 100,000 ppm.

16 . A non-transitory computer-readable medium storing machine-readable instructions, which, when executed by a processor of an electronic device, cause the electronic device to:

receive raw advanced mud gas data including hydrogen gas and total hydrocarbon concentrations for one or more formations in a geographical area;

calculate a baseline concentration value of hydrogen gas for each formation and remove said baseline concentration value from the raw advanced mud gas data;

construct a discount function to correct for an overestimation of hydrogen gas concentration in the raw advanced mud gas data based upon additives, corrosion, drilling mud content, or any combination thereof to construct corrected hydrogen gas concentration curves;

transform the corrected hydrogen gas concentration curves into corresponding hydrogen gas concentration indices to categorize hydrogen shows by strength;

determine a ratio between hydrogen gas and other mud gases from the advanced mud gas data and offset the hydrogen gas concentration indices based upon said ratio;

construct a geographical representation of the hydrogen gas concentration indices across the formations to identify potential hydrogen gas reservoirs for the potential hydrogen gas extraction operations; and

construct and identify potential hydrogen gas migration pathways within the geographical representation, the potential hydrogen gas migration pathways enabling assessments of hydrogen gas presence and charge history for the formations.

17 . The non-transitory computer-readable medium of claim 16 , wherein the instructions causing the electronic device to offset the hydrogen gas concentration indices further include instructions that cause the electronic device to:

decrease values of the hydrogen gas concentration indices if the ratio between the hydrogen gas and the mud gases is less than or equal to about 0.5; and

increase values of the hydrogen gas concentration indices if the ratio between the hydrogen gas and the mud gases is greater than or equal to about 1.

18 . The non-transitory computer-readable medium of claim 16 , wherein the instructions, when executed by the processor of the electronic device, further cause the electronic device to:

extract a maximum, a minimum, and an average hydrogen gas concentration index for each formation to identify potential hydrogen gas reservoirs, wherein the formation includes a plurality of grouped hydrogen gas concentration indices therein.

19 . The non-transitory computer-readable medium of claim 16 , wherein the instructions, when executed by the processor of the electronic device, further cause the electronic device to:

assess peaks in the raw advanced mud gas data compared to a standard deviation thereof; and

replace outliers of the raw advanced mud gas data at said peaks with averaged concentration values from data points adjacent to said peaks.

20 . The non-transitory computer-readable medium of claim 16 , wherein the instructions, when executed by the processor of the electronic device, further cause the electronic device to:

receive mud type data, lithography data, rate of penetration data, or a combination thereof to be used in correcting for the overestimation of hydrogen gas via the discount function.