The New Frontier in Reserves Estimation 

ABOUT US

Proud Partners With

USI leverages a streamlined and automated workflow driven by full-field CMG simulation to generate physics-based type curves for primary and infill wells in unconventional reservoirs.

Our Science-Based Forecaster (SBF) software utilizes engineering data to quickly reveal solutions for widespread industry challenges such as:

  • Infill well underperformance due to well interference, primary depletion and downspacing

  • Drainage area miscalculations for vertical stacking, lateral spacing, and frac mitigation

  • Total Recovery negative impact from shut-in, crossflow, proppant damage, and flowback strategy

  • Reserves revision using statistical and analytical methods

December 2019 - USI welcomes Dr. John Lee to the Board

  1.  "We can forecast production in resource plays more accurately using simulation than with conventional decline curve analysis or conventional construction of type wells.

  2.  Our methodology makes simulation a practical tool because hundreds of thousands of simulations have been run previously, stored, and accessed for reservoir and completion properties within a certain known range. This process is both rapid and rigorously based on fundamental physical principles, unlike conventional DCA and type well construction.

  3.  Our methodology allows us to model interference between wells, influenced both by well spacing and timing of start of production in parent and infill wells.

  4.  We applied our methodology to Contango wells in the Delaware Basin and demonstrated its practical advantages over alternative approaches." Dr. Lee

Unconventional Subsurface Integration LLC is at the intersection between leading reservoir simulation technology and the high demand for quality and integrity in SEC reserves reporting along with addressing major engineering challenges for unconventional reservoirs. Our clients include PE backed, large privately owned and independent operators.  

A few of the companies familiar with our work are shown below.

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SOCIAL & MEDIA

USI Customer Testimonials

"Using USI has been insightful experience to get a better understanding of well performance. I appreciate their usage of physics based type curves to honor the fundamentals of reservoir engineering." said Yogashri Pradhan, P.E., SPE Permian Basin Section Chairman 2020-2021, and Senior Reservoir Engineer at Endeavor Energy Resources.

Wade Wardlow, Sr. Reservoir Engineer at Contango Oil & Gas stated that “USI has taken some of the best modeling tools available, numerical and analytical modeling, and innovated a cutting-edge approach that has provided us with physics-based results.  Their process has given us the ability to evaluate a wide range of development scenarios in short amount of time.  They have provided us with innovative technical solutions that have proven to be very cost effective for our project.  I highly recommend USI and plan to utilize their expertise in upcoming projects.”

Upcoming Events

SPEE Denver Section, Sep 1

Video Available here: 

https://vimeo.com/454141671

SPEE Houston Section, Sep 2

Home » Denver 2020-09-01 SPEE Chapter Luncheon Meeting - Speaker: Dr. John Lee

DENVER 2020-09-01 SPEE CHAPTER LUNCHEON MEETING - SPEAKER: DR. JOHN LEE

Register Now

Dr. John Lee: Flow Models for Forecasting

Dr. W. John Lee, Professor of Petroleum Engineering at Texas A&M University, will discuss "Want to Forecast Well Interference in Resource Plays? Try Using Flow Models".

When: Tuesday, September 1, 2020
Platform: Microsoft Teams
Start Time: 4:00 PM
Duration: About 60 to 90 minutes with a little chapter business on the front end
Cost: Free to register and participate
Process: Once you register your email address online, an invite link will be emailed to you

 

Abstract:  One of the most important issues that operators in resource plays have had to deal with in recent months is forecasting the impact of well-to-well interference on ultimate recovery.  Some have ignored the possibility of increased interference with decreased well spacing, and have found that forecasts of future production were too optimistic.  These optimistic forecasts have in turn affected capital available for investment in resource development.  This presentation will discuss one solution to this problem, use of user-friendly flow models.  While not as robust as coupled geomechanical-reservoir models, simpler approaches have the potential to help us identify and quantify potential “parent-child” and other interference issues relatively rapidly.

Speaker Bio.: Dr. John Lee (PhD, PE) is Professor of Petroleum Engineering at Texas A&M University. John holds BS, MS and PhD degrees in chemical engineering from the Georgia Institute of Technology.  He worked for ExxonMobil early in his career and specialized in integrated reservoir studies.  He later joined the Petroleum Engineering faculty at Texas A&M, and became Regents Professor of Petroleum Engineering.  While at A&M, he also served as a consultant with S.A. Holditch & Associates, where he specialized in reservoir engineering aspects of unconventional gas resources.  He joined the University of Houston faculty in September 2011 and held the Cullen Distinguished University Chair until September 2015.  He served as an Academic Engineering Fellow with the U.S. Securities & Exchange Commission (SEC) in Washington during 2007-8, and was a principal architect of the modernized SEC rules for reporting oil and gas reserves.  John is the author of four textbooks published by SPE and has received numerous awards from SPE, including the Lucas Medal, the DeGolyer Distinguished Service Medal and Honorary Membership.  He is a member of the U.S. National Academy of Engineering and the Russian Academy of Natural Sciences.

Home » Houston 2020-09-02 SPEE Chapter Luncheon Meeting - Speaker: Dr. John Lee

HOUSTON 2020-09-02 SPEE CHAPTER LUNCHEON MEETING - SPEAKER: DR. JOHN LEE

Register Now

Dr. John Lee: Well Interference in Production Forecasting for Unconventional Resources

Dr. W. John Lee,  Professor of Petroleum Engineering at Texas A&M University, will be speaking on  "Well Interference in Production Forecasting for Unconventional Resources”

When: Wednesday, September 2, 2020
Platform: Zoom
Start Time: 12:00 PM
Duration: About 60 to 90 minutes with a little chapter business on the front end
Cost: Free to register and participate
Process: We will share a link to the Zoom meeting in the week before the presentation and to the email provided at registration.  The meeting room will open at 11:30 am.  Announcements will begin promptly at noon followed by the presentation.

Please RSVP by Noon CT Tuesday, September 1, 2020

Abstract:
One of the most important issues that operators in resource plays have had to deal with in recent months is forecasting the impact of well-to-well interference on ultimate recovery. Some have ignored the possibility of increased interference with decreased well spacing, and have found that forecasts of future production were too optimistic. These optimistic forecasts have in turn affected capital available for investment in resource development. This presentation will discuss one solution to this problem, use of user-friendly flow models. While not as robust as coupled geo-mechanical-reservoir models, simpler approaches have the potential to help us identify and quantify potential “parent-child” and other interference issues relatively rapidly.

Speaker Bio.: Dr. John Lee, PhD, P.E.  is Professor of Petroleum Engineering at Texas A&M University. John holds BS, MS and PhD degrees in chemical engineering from the Georgia Institute of Technology. He worked for ExxonMobil early in his career and specialized in integrated reservoir studies. He later joined the Petroleum Engineering faculty at Texas A&M and became Regents Professor of Petroleum Engineering. While at A&M, he also served as a consultant with S.A. Holditch & Associates, where he specialized in reservoir engineering aspects of unconventional gas resources. He joined the University of Houston faculty in September 2011 and held the Cullen Distinguished University Chair until September 2015. He served as an Academic Engineering Fellow with the U.S. Securities & Exchange Commission (SEC) in Washington during 2007-8 and was a principal architect of the modernized SEC rules for reporting oil and gas reserves. John is the author of four textbooks published by SPE and has received numerous awards from SPE, including the Lucas Medal, the DeGolyer Distinguished Service Medal and Honorary Membership. He is a member of the U.S. National Academy of Engineering and the Russian Academy of Natural Sciences.

Dr. John Lee will present Science-Based Forecasting at the upcoming Ryder Scott Reserves Conference:

The 16th Annual Ryder Scott Reserves Conference, originally scheduled for Sept. 17, will be a streaming webinar via the Zoom video platform.

No reserves conference would be complete without John Lee, professor at Texas A&M University, former engineering fellow at the U.S. SEC and well-known reserves evaluation expert. He will present, “How Can We Take Possible Well Interference into Account in Production Forecasting?" He will focus on new research and quicker evaluation methods to improve analyses of well interference, infills and “parent-child” issues in unconventional plays. “Typical well-production profiles have failed to take well interference into account,” said Lee. “That results in overestimates of future production. Rigorous reservoir simulation, including coupling of geomechanical and flow models, will produce reliable forecasts, he added. However, those methods are too time consuming and expensive for routine application."

Past Events

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June 2018: Team USI has successfully launched our first product line: the Science Based Forecaster (SBF) and received tremendous responses from the O&G industry.

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PRODUCT

PATENT PENDING

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CONTACT

Let Us Show You How

SBF has helped O&G operators: 

  • Achieve better production results based on industry leading CMG simulation

  • Obtain history matching outputs in minutes compared to traditional methods that take weeks/ months 

  • Cut costs by saving millions in skilled labor, resources, and infrastructure 

Headquarters

9999 Bellaire Blvd Ste 8A1
Houston, TX 77036

Phone: (713) 223-9800

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