Prosecution Insights
Last updated: April 19, 2026
Application No. 18/255,622

FLUID PRODUCTION NETWORK LEAK DETECTION SYSTEM

Non-Final OA §103§112
Filed
Jun 02, 2023
Examiner
SINGLETARY, MICHAEL J
Art Unit
2857
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Schlumberger Technology Corporation
OA Round
3 (Non-Final)
82%
Grant Probability
Favorable
3-4
OA Rounds
2y 8m
To Grant
86%
With Interview

Examiner Intelligence

Grants 82% — above average
82%
Career Allow Rate
75 granted / 92 resolved
+13.5% vs TC avg
Minimal +4% lift
Without
With
+4.4%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
42 currently pending
Career history
134
Total Applications
across all art units

Statute-Specific Performance

§101
35.4%
-4.6% vs TC avg
§103
31.3%
-8.7% vs TC avg
§102
17.9%
-22.1% vs TC avg
§112
12.1%
-27.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 92 resolved cases

Office Action

§103 §112
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 . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114 was filed in this application after appeal to the Patent Trial and Appeal Board, but prior to a decision on the appeal. Since this application is eligible for continued examination under 37 CFR 1.114 and the fee set forth in 37 CFR 1.17(e) has been timely paid, the appeal has been withdrawn pursuant to 37 CFR 1.114 and prosecution in this application has been reopened pursuant to 37 CFR 1.114. Applicant’s submission filed on 02/06/2026 has been entered. Response to Arguments Applicant's arguments filed 12/16/2025 have been fully considered but they are not persuasive. Regarding Claim 1, applicant discloses that Hauge along with Glass fail to teach wherein the leak detection system is configured to detect normal operations of the multiple pressure sensors by comparing two or more signatures in the expected operational region, the two or more signatures comprising at least one of: a difference between estimated data and the real time data a normalized difference between the estimated data and the real time data or a distance between at least one of the multiple pressure sensors and an ambient fluid. The examiner respectfully disagrees. Hauge teaches wherein the leak detection system is configured to detect normal operations of the multiple pressure sensors by comparing two or more signatures in the expected operational region, the two or more signatures comprising at least one of: a difference between estimated data and the real time data; a normalized difference between the estimated data and the real time data; or a distance between at least one of the multiple pressure sensors and an ambient fluid [0045; 0184; 0298; 0170-0171; 0195]. The disclosed paragraph from the applied reference further teach the additional amendment of the leak detection system detecting the normal operations of the multiple pressure sensors based on the comparing the two or more signatures in the expected operational region. It is for this reason, the examiner maintains the rejection. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claim 1-22 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. The term “normalized” in claims 1, 19 and 20 is a relative term which renders the claim indefinite. The term “normalized” is not defined by the claim, the specification does not provide a standard for ascertaining the requisite degree, and one of ordinary skill in the art would not be reasonably apprised of the scope of the invention. Regarding claim 1, it is unclear what the specific standard, context, or baseline against which the data is adjusted (there is no established minimum or maximum) and is therefore rendered indefinite. To overcome the rejection, examiner suggest clearly defining a range/limit for the term. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1-4 and 9-22 are rejected under 35 U.S.C. 103 as being unpatentable over Hauge et al. (US20190169982A1, 2019-06-06) herein referred to as Hauge in view of Glass et al. (US20190323337A1, 2019-10-24), herein referred to as Glass. Regarding Claim 1, Hauge teaches a method comprising: receiving real time data wherein the real time data comprise at least pressure sensor data from multiple pressure sensors of a hydrocarbon fluid production network for multiple locations in the hydrocarbon fluid production network [0160-0161]; generating an expected operational region in a multidimensional domain using at least a portion of the real time data [0048]; operating a leak detection system using the expected operational region (Figure 7; [0160]), wherein the leak detection system is configured to detect normal operations of the multiple pressure sensors by comparing two or more signatures in the expected operational region, the two or more signatures comprising at least one of: a difference between estimated data and the real time data; a normalized difference between the estimated data and the real time data; or a distance between at least one of the multiple pressure sensors and an ambient fluid [0045; 0184; 0298; 0170-0171; 0195]; tracking at least a portion of the real time data in the multidimensional domain [0160-0161]; and issuing a leak detection signal responsive to the tracking indicating an excursion from the expected operational region, the leak detection system detecting the normal operations of the multiple pressure sensors based on the comparing the two or more signatures in the expected operational region [0045; 0184; 0298; 0170-0171; 0195, Claim 34-35], wherein the leak detection signal indicates the presence of a leak in the hydrocarbon fluid production network (Claim 34 and 35; Figure 7). Hauge further teaches the ability to determine the location of a leak (abstract) and adjusting a choke in the pipeline based on the leak detection signal [0056]. Hauge further teaches pressure sensor data indicative of pressure change [0153], issuing a leak detection signal based on pressure change and the issuing of control instruction to control a piece of equipment in response to the leak detection (i.e. choke) [0159; 0179]. Hauge fails to specifically teach introducing an emulsifier into a pipeline of a hydrocarbon fluid production network; However, in a related field, Glass teaches introducing an emulsifier into a pipeline of a hydrocarbon fluid production network [0026; 0063]. Therefore, it would have been obvious to a person of ordinary skill in the art prior to the effective filing date of the claimed invention to have modified Hauge to incorporate the teachings of Glass by including: introduction of emulsifier/additives to the hydrocarbon fluid production network in order to indicate leaks within the system. Regarding Claim 2, the combination further teaches the method of claim 1, wherein tracking at least a portion of the real time data in the multidimensional domain comprises tracking real time data for at least two of the multiple locations (Hauge: [0287]). Regarding claim 3, The combination further teaches the method of claim 1, wherein the multiple locations comprise wellhead locations (Hauge: [0026]). Regarding Claim 4, The combination further teaches the method of claim 3, wherein the wellhead locations comprise corresponding wells that are in fluid communication with a common reservoir(Hauge: [0026]). Regarding Claim 9, The combination further teaches the method of claim 1, comprising refining at least one of an estimated leak location in real time and an estimated leak size in real time (Hauge: [0163]). Regarding Claim 10, The combination further teaches the method of claim 9, comprising transmitting instructions to dynamically render at least one graphic to a display that indicates at least one of the estimated leak location in real time or the estimated leak size in real time (Hauge: [0287]). Regarding Claim 11, The combination further teaches the method of claim 1, wherein the expected operational region characterizes fluid communication between at least two of the multiple locations(Hauge: [0136]). Regarding Claim 12, The combination further teaches the method of claim 1, wherein the expected operational region characterizes fluid communication between at least two of the multiple locations via a reservoir (Hauge: [0136]). Regarding Claim 13, The combination further teaches the method of claim 1, wherein the leak comprises an outward leak or an inward leak (Hauge: Figure 7; [0161]). Regarding Claim 14, The combination further teaches the method of claim 1, wherein the pressure sensor data from the multiple pressure sensors of the hydrocarbon fluid production network for the multiple locations in the hydrocarbon fluid production network are configured to impart redundancy that increases confidence of the leak detection system (Hauge: [0161]). Regarding Claim 15, The combination further teaches the method of claim 1, comprising utilizing a real time model to generate simulated data during operation of the hydrocarbon fluid production network and comparing at least a portion of the real time data to at least a portion of the simulated data (Hauge: [0301]). Regarding Claim 16, The combination further teaches the method of claim 1, wherein the real time data comprise at least one of multiphase flow sensor data, temperature sensor data, salinity sensor data, viscosity sensor data, water break sensor data, emulsion sensor data, and density sensor data (Hauge: [0175)]. Regarding Claim 17, The combination further teaches the method of claim 1, wherein the expected operational region is a no leak region (Hauge [0284]). Regarding Claim 18, The combination further teaches the method of claim 1, wherein the hydrocarbon fluid production network comprises a manifold wherein multiple pipelines join the manifold (Hauge: [0107]). Regarding Claim 19, Hauge teaches A leak detection system comprising: A pipeline [0044]; a processor [0003]; memory accessible by the processor [0003]; and processor-executable instructions stored in the memory wherein the instructions comprise instructions to instruct the leak detection system [0003] to: receive real time data wherein the real time data comprise at least pressure sensor data from multiple pressure sensors of a hydrocarbon fluid production network for multiple locations in the pipeline of the hydrocarbon fluid production network, the hydrocarbon fluid production network comprising the pipeline, the pressure sensor data indicative of a change in a fluid pressure in the pipeline [0159; 0179]; [0160-0161]; generate an expected operational region in a multidimensional domain using at least a portion of the real time data [0048]; operate a leak detection system using the expected operational region (Figure 7; [0160]), wherein the leak detection system is configured to detect normal operations of the multiple pressure sensors by comparing two or more signatures in the expected operational region, the two or more signatures comprising at least one of: a difference between estimated data and the real time data; a normalized difference between the estimated data and the real time data; or a distance between at least one of the multiple pressure sensors and an ambient fluid [0045; 0184; 0298; 0170-0171; 0195]; track at least a portion of the real time data in the multidimensional domain [0160-0161]; and issue a leak detection signal responsive to the tracking indicating an excursion from the expected operational region, and issuing a leak detection signal responsive to the tracking indicating an excursion from the expected operational region, the leak detection system detecting the normal operations of the multiple pressure sensors based on the comparing the two or more signatures in the expected operational region [0045; 0184; 0298; 0170-0171; 0195, Claim 34-35], wherein the leak detection signal indicates the presence of a leak in the hydrocarbon fluid production network (Claim 34 and 35; Figure 7). Hauge further teaches pressure sensor data indicative of pressure change [0153], issuing a leak detection signal based on pressure change and the issuing of control instruction to control a piece of equipment in response to the leak detection (i.e. choke) [0159; 0179], adjusting a choke in the pipeline based on the leak detection signal [0056]. Hauge fails to specifically teach an emulsifier into a pipeline . However, in a related field, Glass teaches introducing an emulsifier into a pipeline [0026; 0063]. Therefore, it would have been obvious to a person of ordinary skill in the art prior to the effective filing date of the claimed invention to have modified Hauge to incorporate the teachings of Glass by including: introduction of emulsifier/additives to the hydrocarbon fluid production network in order to indicate leaks within the system. Regarding Claim 20, Hauge teaches one or more computer-readable storage media comprising computer-executable instructions executable by a computer processor in electrical communication with a hydrocarbon fluid production network, the instructions comprising instructions [0003] to: receive real time data wherein the real time data comprise at least pressure sensor data from multiple pressure sensors of the hydrocarbon fluid production network for multiple locations in the pipeline of the hydrocarbon fluid production network [0160-0161], the pressure sensor data indicative of a change in a fluid pressure in the pipeline [0159; 0179]; generate an expected operational region in a multidimensional domain using at least a portion of the real time data [0048]; operate a leak detection system using the expected operational region (Figure 7; [0160]), wherein the leak detection system is configured to detect normal operations of the multiple pressure sensors by comparing two or more signatures in the expected operational region, the two or more signatures comprising at least one of: a difference between estimated data and the real time data; a normalized difference between the estimated data and the real time data; or a distance between at least one of the multiple pressure sensors and an ambient fluid [0045; 0184; 0298; 0170-0171; 0195]; track at least a portion of the real time data in the multidimensional domain [0160-0161]; and issue a leak detection signal responsive to the tracking indicating an excursion from the expected operational region, and issuing a leak detection signal responsive to the tracking indicating an excursion from the expected operational region, the leak detection system detecting the normal operations of the multiple pressure sensors based on the comparing the two or more signatures in the expected operational region [0045; 0184; 0298; 0170-0171; 0195, Claim 34-35], wherein the leak detection signal indicates the presence of a leak in the hydrocarbon fluid production network (Claim 34 and 35; Figure 7). Hauge further teaches pressure sensor data indicative of pressure change [0153], issuing a leak detection signal based on pressure change and the issuing of control instruction to control a piece of equipment in response to the leak detection (i.e. choke) [0159; 0179], and adjusting a choke in the pipeline based on the leak detection signal [0056]. Hauge fails to specifically teach introducing an emulsifier into a pipeline of a hydrocarbon fluid production network; However, in a related field, Glass teaches introducing an emulsifier into a pipeline of a hydrocarbon fluid production network [0026; 0063]. Therefore, it would have been obvious to a person of ordinary skill in the art prior to the effective filing date of the claimed invention to have modified Hauge to incorporate the teachings of Glass by including: introduction of emulsifier/additives to the hydrocarbon fluid production network in order to indicate leaks within the system. Regarding Claim 21, the combination further teaches The method of claim 1, further comprising directing a vehicle to a leak location based on the leak detection signal (Hauge: [0131]). Regarding Claim 22, the combination further teaches the method of claim 1, wherein the two or more signatures further comprise one or more derived variables, including at least one of: a pressure difference between two of the multiple pressure sensors; a pressure gradient along the pipeline of the hydrocarbon fluid production network; or a pressure ratio within the pipeline of the hydrocarbon fluid production network [0156-0157; 0160; 0088; 0298]. Claims 5 through 8 are rejected under 35 U.S.C. 103 as being unpatentable over Hauge and Glass as applied to claims 1 through 4 and 9 through 20 above, and further in view of Li et al. (WO2015077768A1, 2015-05-28) herein referred to as Li. Regarding Claim 5, the combination teaches all of the limitation of Claim 1. The combination fails to teach wherein the expected operational region comprises a convex hull. However, in a related field, Li teaches receiving information that defines three-dimensional subterranean structure and generating convex hulls (Fig. 3 [0102]). Therefore, it would have been obvious to a person of ordinary skill in the art prior to the effective filing date of the claimed invention to have modified the combination of Hauge and Glass to incorporate the teachings of Li by including: the generation of a convex hull in order to convey a more accurate depiction of the subterranean formation. Regarding Claim 6, The combination teaches all of the limitations of claim 5. The combination further teaches wherein the convex hull is an ellipsoid ([0102] Examiner’s Note: The paragraph disclose the ability to define a three-dimensional subterranean structure. An ellipsoid is a 3D structure). Regarding Claim 7, the combination teaches all of the limitation of Claim 1. The combination fails to teach wherein the tracking generates a transient region in the multidimensional space. However, in a related field, Li teaches The method of claim 1, wherein the tracking generates a transient region in the multidimensional space [0102-0108]. Therefore, it would have been obvious to a person of ordinary skill in the art prior to the effective filing date of the claimed invention to have modified the combination of Hauge and Glass to incorporate the teachings of Li by including: generating a transient region in the multidimensional space in order to convey a more accurate depiction of the subterranean formation. Regarding Claim 8, The combination teaches all of the limitations of claim 7. The combination further teaches wherein the transient region comprises a convex hull [0102-0108]. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to MICHAEL J SINGLETARY whose telephone number is (571)272-4593. The examiner can normally be reached Monday-Friday 8:00am-5:00pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Catherine Rastovski can be reached at (571) 270-0349. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MICHAEL J SINGLETARY/ Examiner, Art Unit 2857
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Prosecution Timeline

Jun 02, 2023
Application Filed
Aug 08, 2025
Non-Final Rejection — §103, §112
Aug 21, 2025
Interview Requested
Aug 29, 2025
Response Filed
Nov 06, 2025
Final Rejection — §103, §112
Nov 11, 2025
Interview Requested
Dec 08, 2025
Applicant Interview (Telephonic)
Dec 16, 2025
Response after Non-Final Action
Dec 18, 2025
Examiner Interview Summary
Feb 06, 2026
Request for Continued Examination
Feb 19, 2026
Response after Non-Final Action
Feb 23, 2026
Non-Final Rejection — §103, §112
Mar 09, 2026
Interview Requested
Mar 26, 2026
Applicant Interview (Telephonic)
Mar 27, 2026
Examiner Interview Summary

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

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Prosecution Projections

3-4
Expected OA Rounds
82%
Grant Probability
86%
With Interview (+4.4%)
2y 8m
Median Time to Grant
High
PTA Risk
Based on 92 resolved cases by this examiner. Grant probability derived from career allow rate.

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