Prosecution Insights
Last updated: August 17, 2026
Application No. 19/047,315

SYSTEMS AND METHODS FOR SUSTAINABILITY PERFORMANCE BENCHMARKING

Non-Final OA §102
Filed
Feb 06, 2025
Priority
Jun 28, 2024 — provisional 63/665,577 +3 more
Examiner
AZAD, ABUL K
Art Unit
2656
Tech Center
2600 — Communications
Assignee
Schlumberger Technology Corporation
OA Round
1 (Non-Final)
85%
Grant Probability
Favorable
1-2
OA Rounds
10m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 85% — above average
85%
Career Allowance Rate
682 granted / 799 resolved
+23.4% vs TC avg
Moderate +14% lift
Without
With
+14.2%
Interview Lift
resolved cases with interview
Typical timeline
2y 5m
Avg Prosecution
22 currently pending
Career history
815
Total Applications
across all art units

Statute-Specific Performance

§101
18.6%
-21.4% vs TC avg
§103
37.5%
-2.5% vs TC avg
§102
27.2%
-12.8% vs TC avg
§112
5.5%
-34.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 799 resolved cases

Office Action

§102
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . This action is in response to the communication filed on February 6, 2025. Claims 1-20 are pending in this action. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claim(s) 1-20 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Galow et al. (US 12,159,252). As per claim 1, Galow discloses, a tangible, non-transitory, computer-readable medium comprising instructions that, when executed by processing circuitry (col. 20, line43-col. 21, line 5), are configured to cause the processing circuitry to: transmit a set of sustainability data to a computer vision model for extraction into a textualized set of sustainability data (col. 2, lines 34-59; col. 9, lines 49-62); divide the textualized set of sustainability data into one or more subsets of textualized sustainability data (col. 9, lines 49-62); transmit the one or more subsets of textualized sustainability data to an artificial intelligence (AI) model (col. 7, lines 6-11; col. 14, lines 56-64); transmit at least one instruction to the AI model to elicit summarization of the one or more subsets of textualized sustainability data into a summarized dataset (col. 7, lines 6-11; col. 14, lines 56-64); and transmit at least one instruction to the AI model to cause generation of a sustainability dashboard by the AI model as a graphical user interface on a display utilizing the summarized dataset, wherein the sustainability dashboard comprises at least one metric selected from the summarized dataset (col. 18, line 1-col. 19, line 15). As per claim 2, Galow discloses, wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to receive the set of sustainability data from one or more data sources (col. 10, lines 5-36). As per claim 3, Galow discloses, wherein the instructions when executed by the processing circuitry, cause the processing circuitry to assign an identifier to each of the one or more subsets of textualized obtainability data based on its respective correlation to the one or more data source (col. 11, line 53-col. 12, line 37). As per claim 3, Galow discloses, wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to receive the set of sustainability data from one or more web links, one or more Application Programming Interfaces, one or more databases, or any combination thereof as the one or more data sources (col. 8, lines 29-55 and col. 10, lines 5-36). As per claim 5, Galow discloses, wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to transmit the at least one instruction to the Al model to elicit summarization of the one or more subsets of textualized sustainability data into the summarized dataset as comprising one or more sustainability reports (col. 7, lines 6-11; col. 14, lines 56-64). As per claim 6, Galow discloses, wherein the instructions, when executed by the processing circuitry, are configured to cause the processing circuitry to: receive one or more inputs associated with one or more sustainability dashboard parameters; and transmit the one or more inputs to the Al model to cause generation of the sustainability dashboard based on the one or more inputs (col. 12, lines 12-45). As per claim 7, Galow discloses, wherein the instructions, when executed by the processing circuitry, are configured to cause the processing circuitry to provide the sustainability dashboard for visualization as the graphical user interface (col. 15, line 57-col. 16, line 45). As per claim 8, Galow discloses, wherein the instructions, when executed by the processing circuitry, are configured to cause the processing circuitry to generate one or more alerts based on one or more updates to the sustainability dashboard (col. 18, lines 1-16). As per claim 9-20, they are analyzed and thus rejected for the same reasons set forth in the rejections of claims 108, because the corresponding claims have similar limitations. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Martis et al. (US 2025/0378372) discloses, fine-tune AI models. Abhyankar et al. (US 2025/0284963) discloses, creating and distributing customized artificial intelligence chatbots. Contact Information Any inquiry concerning this communication or earlier communications from the examiner should be directed to Abul K. Azad whose telephone number is (571) 272-7599. If attempts to reach the examiner by telephone are unsuccessful, the examiner's supervisor, Bhavesh Mehta, can be reached at (571) 272-7453. Any response to this action should be mailed to: Commissioner for Patents P.O. Box 1450 Alexandria, VA 22313-1450 Or faxed to: (571) 273-8300. Hand-delivered responses should be brought to 401 Dulany Street, Alexandria, VA-22314 (Customer Service Window). Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). July 14, 2026 /ABUL K AZAD/Primary Examiner, Art Unit 2656
Read full office action

Prosecution Timeline

Feb 06, 2025
Application Filed
Jul 16, 2026
Non-Final Rejection mailed — §102
Jul 28, 2026
Interview Requested
Aug 05, 2026
Applicant Interview (Telephonic)
Aug 06, 2026
Examiner Interview Summary

Precedent Cases

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
85%
Grant Probability
99%
With Interview (+14.2%)
2y 5m (~10m remaining)
Median Time to Grant
Low
PTA Risk
Based on 799 resolved cases by this examiner. Grant probability derived from career allowance rate.

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