Basin intelligence for informative and strategic decision making and analysis.
With TGS Analytics, you gain deep basin intelligence for informative and strategic decision making along the project value chain. Our basin intelligence solution provides analytical partnerships to close any research gaps so you can make better informed decisions.
We differentiate our solution by bridging the gap between subsurface geologic data and interpretation with strategic analysis of production capabilities. Staying connected to the data allows for fast and transparent insights from a top-down view to each individual well.
Our tool integrates into your workflow allowing you to gain quick knowledge or perform individual analytics for your AOI.
Basin intelligence for informative and strategic decision making and analysis.
With TGS Analytics, you gain deep basin intelligence for informative and strategic decision making along the project value chain. Our basin intelligence solution provides analytical partnerships to close any research gaps so you can make better informed decisions.
We differentiate our solution by bridging the gap between subsurface geologic data and interpretation with strategic analysis of production capabilities. Staying connected to the data allows for fast and transparent insights from a top-down view to each individual well.
Our tool integrates into your workflow allowing you to gain quick knowledge or perform individual analytics for your AOI.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
1. See the energy at TGS.com
Spec sheet
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BLANCHARD 3D
MULTI-CLIENT 3D SURVEY 572 mi2
Canadian, Grady and McClain Counties, Oklahoma
2. See the energy at TGS.com
Spec sheet
ACQUISITION PARAMETERS
Wayne Millice
wayne.millice@tgs.com
Office: 713-860-2146
Main: 713-860-2100
John Sadler
john.sadler@tgs.com
Office: 713-860-2105
Mobile: 281-794-5039
Dennis Langlois
dennis.langlois@tgs.com
Office: 713-860-2129
Mobile: 713-703-6830
PROCESSING
STANDARD DELIVERABLES OPTIONAL PRODUCTS (additional costs may apply)
Acquisition Date:
Receiver Interval:
Source Interval:
Receiver Line Spacing:
Source Line Spacing:
Geophones:
Record Length:
Sample Interval:
Fold:
Recorded Bin Size:
Source Type:
Maximum Offset:
Recording Patch:
Receiver Orientation:
Surface Area:
Acquired By:
April - December 2015
220 ft
220 ft
880 ft
1100 ft
1 node
5000 ms
2 ms
208
110 x 110 ft
3 Vibrators, 1 sweep x 32 seconds
19,913 ft
32 lines x 130 receivers per line
East - West
572 sq. miles
Geokinetics
Processed by TGS/Arcis - Completed July 2016
Raw PSTM migration
Enhanced processed PSTM migration
Raw 5D migration
Enhanced processed 5D migration
3D Migration velocity trace volume
Processing report
PSTM gathers with NMO
5D PSTM gathers with NMO
Stacking velocity trace volume
Pre-migrated gathers
5D Pre-migrated gathers
ETA trace volume
Angle stacks (near, mid, far)
AVAZ and VVAZ azimuthal analysis
LAS well logs
Validated well headers
Anadarko Basin Temperature Model