ORIGINALLY PUBLISHED: 11 OCTOBER 2021
AUTHOR: ARTHUR COLE FOR VENTUREBEAT
LOS ANGELES, CA
 
Our CEO, AJ Aballat was featured in a recent article by VentureBeat with a focus on how AI technology could reshape the U.S. government and whether that fact should or shouldn’t be the case. The feature discusses all the ways in which governments are already adopting implementing artificial intelligence software solutions and products to improve decision-making, rapidly deliver the kind of analytical feedback necessary for deciding whether a specific policy or program is executing as planned at projected cost estimations, allow for more efficient infrastructure planning, and more.
 
“AI is already fueling the development of smart cities that are expected to produce all manner of societal benefits. With better traffic management, for example, we should see lower carbon emissions, fewer traffic jams, fewer accidents, and improvements to infrastructure development and repair.”
 
READ THE FULL ARTICLE – HERE.
 
SEE HOW BEYOND LIMITS AI SOFTWARE SOLUTIONS POWERED BY COGNITIVE AI CAN MAKE AN IMPACT ON BOTH GOVERNMENTAL AND INDUSTRIAL SCALES – HERE.
ORIGINALLY PUBLISHED: 27 SEPTEMBER 2021
AUTHOR: SCOTT CLARK FOR CMSWIRE
Los Angeles, CA

 

Our CEO, AJ Aballat was aptly quoted in a recent article by CMSWire on 4 Reasons Why Explainable AI is the Future of AI, discussing the many reasons why explainable artificial intelligence products and solutions are critical for industries, companies, and others wanting to enact their digital transformation initiatives by implementing the most advanced technology available.
 
 
“The next frontier of AI is the growth and improvements that will happen in Explainable AI technologies. They will become more agile, flexible, and intelligent when deployed across a variety of new industries. XAI is becoming more human-centric in its coding and design. We’ve moved beyond deep learning techniques to embed human knowledge and experiences into the AI algorithms, allowing for more complex decision-making to solve never-seen-before problems — those problems without historical data or references. Machine learning techniques equipped with encoded human knowledge allow for AI that lets users edit their knowledge base even after it’s been deployed. As it learns by interacting with more problems, data, and domain experts, the systems will become significantly more flexible and intelligent. With XAI, the possibilities are truly endless.”
 
 
READ THE FULL ARTICLE – HERE.
 
 
SEE WHY BEYOND LIMITS’ TECHNOLOGY REPRESENTS THE PINNACLE OF EXPLAINABLE AI – HERE.
 
 
 
 
ORIGINALLY PUBLISHED: AUGUST 2021
AUTHOR: VIDYASAGAR ANANTHAN & OTHERS FOR OILFIELD TECHNOLOGY
Los Angeles, CA

 

Vidyasagar Ananthan, Senior Machine Learning Scientist for Beyond Limits, penned a technical article that was published in the August issue of Oilfield Technology, discussing the important role reinforcement learning plays in the optimization of well placement and field planning for the upstream sector.
 
 
“Appraising the preservation of hydrocarbons within discovery fields is a critical aspect during exploration. This involves detailed seismic surveys, geostatistical analyses and subsequent high-resolution simulations involving geological models or digital twins representing the natural subsurface strata. In order to understand the practical production limit of a field, it is necessary to find the best possible drilling locations, trajectories and control strategies given practical constraints – constituting the field planning process. Optimal placement and control of wells within such a greenfield development is a sequential decision-making problem of spatiotemporal nature.”
 
 
Read the full article, Mastering Well Placement Through Reinforcement Learning, on pages 75-79, HERE.
 
 
DEEP DIVE INTO ALL BEYOND LIMITS’ PRODUCTS & SOLUTIONS OPTIMIZING THE UPSTREAM SECTOR – HERE.
 
 
 
 
 
Originally Posted: 24 August 2021
Author: Leonard Lee
Los Angeles, CA

 

Our Beyond Limits APAC President, Leonard Lee, was published on DigiconAsia discussing smart cities, illustrating the vital role that holistic, sustainable artificial intelligence (AI) adoption plays in their future. The article takes the opportunity to dive into why AI is proving itself an invaluable digitalization tool during this transformational era of sustainably shifting from traditional city planning to orchestrate smart cities across the Asia Pacific region.
 
 
“Intentional AI implementation and smart city technologies are rapidly becoming recognized as the not-so-secret ingredient helping urban regions accomplish the initiative of lowering greenhouse gas emissions by up to 270k kilotons, creating 1.2M new jobs, and generating cost-of-living savings between US$9bn and US$16bn.”
 
 
READ THE FULL ARTICLE HERE.
 
 
 
 
Originally Posted: 9 September 2021
Author: AJ Abdallat for Smart Industry Forum
Los Angeles, CA

 

Our CEO and Founder, AJ Abdallat, was published on Smart Industry’s Forum discussing the role of artificial intelligence (AI) in “going green,” talking about insights into using AI to achieve environmental goals. The article features four tips for companies kicking off AI initiatives seeking to fulfill more sustainable ambitions, including:
 
 
1. Understanding available digital tools & AI partners
2. Investing in hybrid AI
3. Providing digital infrastructure
4. Creating intentional data security & policy
 
 
“When it comes to energy innovation, artificial-intelligence solutions are leading the pack as organizations chart out their digital-transformation blueprints. Acceptance and execution shouldn’t scare away any company; there are those that will dive in headfirst and reap the rewards.”
 
 
 
READ THE FULL ARTICLE HERE.
 
 
 
 
Originally Posted: 7 February 2021
Author: Darrell Proctor for POWER magazine
Los Angeles, CA

 

POWER magazine recently featured our own Stephen Kwan, Director of Product Management for Power Generation/Grid, in a Q&A interview-style spotlight.
 
The POWER Interview: AI, Big Data, and Efficiency is an in-depth feature that endeavors to get a glimpse into Stephen’s expert perspectives on artificial intelligence and machine learning as they apply to the electricity sector, with insights into what the future holds as the power generation landscape continues transforming. POWER magazine also took the opportunity to highlight some of the advanced, differentiating technologies offered by Beyond Limits.
 
 
“Integration and adoption of machine learning and other artificial intelligence solutions are already increasing exponentially,” said Stephen Kwan. “At this pace, the outlook for advanced technologies points toward AI approaches becoming the gold standard for the future growth of the power generation/utilities industry.”
 
 
 
 
 
FIND OUT THESE ANSWERS AND READ THE FULL ARTICLE HERE.
 
 
 
Originally Posted: 12 JULY 2021
Author: Ken Silverstein for Forbes
Los Angeles, CA

 

Forbes featured Beyond Limits in an expository feature that discussed its partnership with Xcell Security House and Finance and the evolving role of AI in the oil and gas industry. As Beyond Limits aims to reduce CO2 emissions on an accelerated timeline, the article touches on the ways AI can provide a comprehensive view of business processes to lower environmental impacts and expenses while improving productivity and efficiency. 
 
 
“Nothing we build is designed to replace a person,” says Michael Krause, Senior Manager for Oil and Gas at Beyond Limits. “People need to make decisions. But AI can remove that mundane component of their work and allow managers to focus on the value-added part. There are millions of potential strategies for humans to pursue — each one a function of intelligence and experience.” 
 
 
READ THE FULL ARTICLE HERE.
 
 
 
 
 
Originally Posted: 27 JULY 2021
Author: AJ ABDALLAT
Los Angeles, CA

 

Our CEO and Founder, AJ Abdallat, was published on Smart Industry’s Forum discussing the role of AI in finding actionable solutions to climate challenges. As AI continues to encourage digital transformation across major industries, this article touches on the technological advances made to assist in field planning, forecasting, and ESG investments.
 
 
“AI is adept at helping with operate-to-plan objectives, scheduling optimal combinations of renewable and conventional power supplies as necessary. This is because AI can take numerous variables into account, then provide timely recommendations that support changing consumer needs while simultaneously managing opt-in demand-response programs that cut demand during high-load periods using alert systems and/or shutdowns.”
 
 
 
READ THE FULL ARTICLE HERE.
 
 
 
 
 
Originally Posted: 21 JULY 2021
Author: JEFFERY BURT FOR THE NEXT PLATFORM
Los Angeles, CA

 

The Next Platform featured our Chief Technology Officer of Industrial AI, Shahram Farhadi, in an interview-style feature discussing the well placement challenges addressed by Beyond Limits’ Field Planning solution. The article discusses the ways advanced AI frameworks paired with HPC and codified domain knowledge plus human expertise can work together to optimize operations.
 
 
“For the practices that you have relied on a human expert to come up with a framework and [to] solve a problem, it is important for them that whatever system you build is honoring that and can digest that. It’s not only data, it’s also that knowledge that’s human. How do we incorporate and then bring this together? For example, how do you make the knowledge that your engineer learned about from the data or how do you use the physics as a constraint for your AI? It’s an interesting field.”
 
 
READ THE FULL ARTICLE HERE.
 
 
 
 
Originally Posted: 2 JULY 2021
Author: ALEX WOODIE FOR DATANAMI
Los Angeles, CA
 
Datanami featured our own Chief Technology Officer for Industrial AI, Shahram Farhadi, in an interview-style feature discussing the hybrid AI approach to optimizing energy extraction across the oil and gas industry. The interview also touches on how the application of Beyond Limits’ Field Planning solution resulted in a decrease in environmental impact and an increase in efficiency for standard operations.
 
 
“At Beyond Limits, Farhadi has spearheaded a new approach to optimizer development that leverages some of the latest breakthroughs in reinforcement learning and deep convolutional neural networks. Deep learning approaches are able to work with, and learn from, much larger pools of data than traditional machine learning algorithms.”
 
 
READ THE FULL ARTICLE HERE.
 
 
 
 
 
08 June 2021
Los Angeles, CA

 

Beyond Limits has harnessed the power of NVIDIA’s platform to solve one of the most substantial problems in the upstream oil and gas industry. Read the full case study HERE.

 

The Upstream Sector’s Greatest Challenge: Field Planning

 

Upstream endeavors normally demand an extensive team of geologists, petro-physicists, reservoir engineers, mathematicians and more, working together in order to construct models that take several months, or even years, to complete. It’s a necessity for such models to capture expert input, as well as statical and dynamic data from considerably high-value assets. Historical human knowledge, experience, and expertise are crucial at almost every stage of interpreting historical performance and data.

 

One of the greatest challenges for the upstream oil and gas sector is the optimization of well placement in oil and gas reservoirs (field planning). As an example, and to give a sense of the scope of the challenge, a game of chess has nearly five million possible moves after the first five. Optimal well placement paints a similar picture. Well placement in a small reservoir can have as many as one hundred trillion possible combinations within only five sequential, non-commutative choices of vertical well-drilling locations. This game of choice is on a level all its own.

 

Luckily for everyone involved, Beyond Limits is rewriting the rulebook when it comes to solving the well placement optimization problem at scale. By leveraging NVIDIA A100 Tensor Core GPUs, Beyond Limits is developing a deep reinforcement learning (DRL) framework that provides high-performance computing (HPC) infrastructure to support novel AI frameworks making the strategic moves necessary to simplify this intricate field.

 

Simulated field and well trajectories

 

 

Inside Industry Solutions: The NVIDIA x Beyond Limits Approach

 

Beyond Limits and NVIDIA set out to solve the computational challenge currently facing many companies across the upstream oil and gas sector by developing a new solution that elevates field planning workflows based on a DLR framework with a primary objective to maximize net present value (NPV), i.e., projected dollar value for production capabilities of any given field with a specified number of wells.

 

Unavoidable additions of well assets inherently result in both higher drilling costs and increased risk for negative environmental impacts. Therefore, simultaneously maximizing returns while minimizing drilling is a capability that’s paramount to the energy sector. Adopting cutting-edge AI solutions is becoming increasingly essential for upstream companies to successfully reduce waste while maximizing productivity and profitability over the projected lifetime of an asset as essential as their most valuable wells.

 

“Beyond Limits has used the power of the NVIDIA platform to solve one the most substantial problems in the upstream oil and gas industry.” -NVIDIA

 

GATHER EVERY DETAIL ABOUT THE NVIDIA & BEYOND LIMITS FIELD PLANNING CASE STUDY HERE.

 

 

Beyond Limits AI Solution for Reservoir Management Accelerated by NVIDIA GPU’s

 

Beyond Limits AI solution for reservoir management is just one example of an application that supports operators to dramatically accelerate data integration and analysis for pinpointing drilling opportunities, weighing opportunity versus risk, and speeding up time to decisions.

 

Beyond Limits’ NVIDIA-GPU accelerated reinforcement learning framework enhances the solution with high-performance AI capabilities to optimize well placement decisions by identifying several thousand combinations, reduced from over one hundred trillion possible combinations (mentioned at the outset). Adoption of this advanced solution yields over 250% algorithmic performance improvement in a typical reservoir, leading to an additional 10% improvement in NPV for vertical wells.

 

Reinforcement learning in real-time

 

Even the smallest enhancements can make a huge impact. Seemingly minor adjustments help solve challenges at an accelerated speed and increases scale thus reducing well placement (in typical reservoirs) timelines down from months to hours, yielding millions of dollars in additional value and revenue.

 

WATCH BEYOND LIMITS’ ON-DEMAND NVIDIA GTC TALK FOR MORE TECHNICAL INSIGHT INTO THE CASE STUDY HERE.

 

 

Field Planning for Deep Reinforcement Learning: The Net Zero Impact

 

AI will play a key role in helping the energy industry achieve net zero ambitions by making operations more efficient, increasing productivity, and reducing waste. AI applications such as Beyond Limits’ NVIDIA-GPU reinforcement learning framework can support these initiatives with carbon capture and sequestration, reducing drilling of new wells, and transitioning to low-carbon energy sources. Examples of intentional efforts toward accomplishing those goals include identifying the best CO2 injection candidates across depleted fields, providing optimal planning for existing fields, minimizing drilling length, converting between injection and production weeks, and sequential planning for novel energy use cases broader than field planning.

 

 

More Benefits of AI in Upstream: From Deep Reinforcement Learning to Cognitive AI

 

Beyond Limits advanced AI technology has the ability to help support entire upstream strategies, streamlining processes, and optimizing entire operations. Several benefits for implementing and adopting this technology in the sector include:

 

+ Capturing Institutional Knowledge & Business Logic

 

This AI solution bridges the knowledge-loss gap for providers by capturing and encoding veteran operator knowledge then distributing that essential expertise, best practices, and business logic across an entire organization so it’s never lost and easily transferrable to newer, up-and-coming operators within the sector.

 

+ Reducing Uncertainty when Data is Limited

 

This technological approach combines expert knowledge with advanced data-driven techniques to overcome limited or incomplete data. By modeling hypothetical paths using advanced conventional machine learning in combination with symbolic methods, Beyond Limits AI is better equipped to more accurately predict scenarios or outcomes and then propose optimal courses of action, yielding more confident decisions even under less-than-ideal data circumstances. 

 

+ Increasing Prognostic Accuracy

 

Advanced artificial intelligence’s predictive capabilities balance out the inherent uncertainties associated with operating under inaccurate or incomplete planning models. This solution helps mitigate risks from unforeseen, potentially hazardous, workforce and asset incidents by increasing prognostic accuracy.

 

 

Beyond Limits Cognitive AI for Well Health

 

Beyond Limits Cognitive AI for Well Health is another great example of an artificial intelligence solution making everything easier for the industry. Keeping industrious, valuable wells in optimal health is of the utmost importance. Executing superior diagnosis and prognosis, detecting critical errors, and predicting future problems are vital capabilities for the sector.

 

More often than not, a narrow field of principal experts is depended on to fill the aforementioned responsibilities, make crucial modifications, and disentangle any and all concerns. However, this is not a scalable answer when each vital well demands day-to-day expert decisions and mediation. Unexpected issues from wear-and-tear or otherwise, that go undiagnosed over a span of time, have huge potential to harm equipment and processes. This innately leads to downtime, drops in production, and surging maintenance costs.

 

Beyond Limits’ solution is a cognitive decision support system designed to assess data-driven, physics-based material in conjunction with human expertise and best practices. It can translate domain expertise into ideal plans and recommendations to prevent formation damage and ensure well integrity by forecasting and moderating risk while helping stakeholders uphold production objectives. Such capabilities lead to pointedly reduced downtime, optimal well operation, streamlined production planning, and decreased costs.

 

 

A Partnership to Keep Your Eye on in this Era of Digital Transformation

 

High-performance AI fast-tracked by GPUs encourages energy companies to enhance strategies to maximize financial returns, accelerate time to decision, improve decision-maker confidence levels, and optimize well productivity while helping to reduce the environmental impact and hazards caused by drilling.

 

The adoption and implementation of such AI workflows represent both the vision and the outlook for the upstream oil and gas industry. More importantly, the framework built by Beyond Limits, in partnership with NVIDIA, will continue developing exponentially within this space. With applications that have use cases across the downstream sector, and the energy industry as a whole, alongside power/utilities/grid management, as well as medical/healthcare fields – and a host of others – a partnership as powerful as the combined prowess of these two technological giants has the potential to help almost any enterprise look far beyond its limits.

 

TAKE A DEEPER LOOK AT THE NVIDIA & BEYOND LIMITS FIELD PLANNING CASE STUDY HERE.

 

 

 

ORIGINALLY POSTED: 3 MAY 2021
AUTHOR: ANITA HAWSER FOR GLOBAL FINANCE
Los Angeles, CA

 

Global Finance recently featured Beyond Limits’ Chief Product Officer (CPO), Yonatan Hagos, in an article discussing the impact Artificial Intelligence (AI) is having on numerous critical industries today and how that influence is crucial for companies currently evolving their business models to keep up with this age of digital transformation.
 
AI: The Unseen Assistant is a feature that primarily focuses on how AI solutions are already motivating the financial sector, along with a deeper dive into some of the challenges the industry is facing in terms of technological adoption. Yonatan leverages his considerable executive expertise to weigh in on some compelling topics, including:
 
 
“While conventional AI techniques like machine learning, deep learning or neural networks define conventional AI approaches, their Achilles’ heel, says Yonatan Hagos, Chief Product Officer at AI software-engineering company Beyond Limits, is that they cannot explain how they arrive at an answer. Hagos says Cognitive AI solutions like the one Beyond Limits uses take large data sets, then apply a layer of human knowledge and business logic to provide more accurate recommendations.”
 
READ ALL OF YONATAN’S POIGNANT CONTRIBUTIONS – CHECK OUT THE FULL ARTICLE HERE.
 
 
READY TO LEARN EVERYTHING YOU CAN ABOUT ALL THE INDUSTRIES WHERE BEYOND LIMITS’ SOLUTIONS ARE HELPING TO DRIVE MAJOR VALUE? CHECK IT OUT RIGHT HERE.