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Upgrade to PHDwin V3 from V2: Unleash Efficiency and Collaboration

Data Discipline

Say goodbye to the hassle of packing data. In PHDwin V3, this is no longer an issue, saving you significant time. With improved data discipline, your workflow becomes smoother and more efficient.

Efficient Graph reporting

Reporting graphs has never been easier. In PHDwin V3, what used to be an 11-step process in Version 2 is now condensed into a single step. No more reliance on external tools like Adobe Acrobat. With just four simple steps, you can collate graphs alongside reports seamlessly.

Faster Economic Runs

We know your time is your most valuable asset, which is why PHDwin V3 is faster than Version 2. Economic runs that once took 10+ minutes in Version 2 now happen in 2-4 minutes in V3, sometimes even faster depending on hardware. This significant time saving allows you to focus on more critical tasks and get back to what matters most to you.

Outputting Data

Never has it been easier to work back and forth between PHDwin and excel and ensure the best economic data is available seamlessly between both applications.

We feature five versions of PHDwin V3 Connect.

V3 Exec Connect

V3 Exec Connect gives users quick one-line outputs.

Helps provide a quick view of total values for individual economic runs. This helps users optimize decision making.

The PHDwin V3 Exec Connect is the most comprehensive one-line output.

The first PHDwin V3 Connect feature we released and the easiest to get started with for seamless excel and PHDiwn V3 data integration.

V3 Forecast Connect

Helps users manage forecast outputs.

Forecast in a single place faster and easier.

Allows users to control forecast parameters, enabling seamless Quality Control (QC) and updated economic runs.

This tool helps replace projection edit feature in PHDwin V2.

V3 Tech Connect with Summaries

Allows users to access data summaries in a single line format and with monthly reports.

Also allows users to view grand totals or any custom summaries within each report.

Helps streamline data analysis and make data driven decisions.

V3 Multi Entity Connect

Enhances connect data management for multi-scenario reporting.

Represents multiple scenarios, strategic business units (SBUs), or entities.

V3 Columnar Connect

Outputs Oil, Gas, NGL and water streams in a columnar output for clients that need specific outputs.

Holds the most amount of yearly data of any PHDwin Output (50 years).

Scheduled Forecasts

PHDwin V3 can natively manage scheduled forecast data and can even convert ARPS forecasts into scheduled data. Users can then copy data to any MS office product, or adjust their production every month. This feature helps users make data compatible between third-party forecast systems.

Improved Input Review

Understanding the inputs leading to reported figures is crucial. In Version 3, the input report has been revamped for clarity and user-friendliness.

Say goodbye to cryptic reports with poor construction. Version 3 provides a clearer picture of your inputs, making review processes smoother.

Enhanced Collaboration

Collaboration is key in today’s work environment. With PHDwin V3, collaboration becomes seamless. Multiple users can work in the same database in separate instances and easily mere their work back together. This collaborative feature enhances teamwork and decision-making processes.

Long-term Solution

PHDwin V3 features an open data set, allowing you to control your data and third-party integrations, how you want, whenever you want, forever! At TRC Consultants we believe you should own your data and control your companies most valuable information. in the most secure way, locally and with enhanced encryption and password protection.

Invest in a tool that grows with you and supports your evolving needs.

Final Thoughts

PHDwin V3 offers easier data management, streamlined workflows, enhanced collaboration, and improved decision-making capabilities. Do not let software become updated and leave you in a bind. Speak to a PHDwin specialist today and see what Version 3 can do for your organization!

Experience V3 today.

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Latency Matters: Why Hosting PHDwin Locally Boosts Performance

The Crucial Role of Latency in Oil and Gas Data Management: Powering Performance through PHDwin Local Hosting

Welcome to an in-depth exploration of network latency’s pivotal role within the dynamic landscape of oil and gas reserves management. In the swift realm of handling oil and gas data, each passing moment holds immense significance. Latency, the delay between data request and receipt, stands as a critical factor shaping operational efficiency. To grasp its impact, let’s draw parallels: imagine latency akin to conversational pauses or the delay in postal correspondence.

Throughout this article, we delve into the profound significance of latency in the realm of data processing within the oil and gas industry.

Moreover, we underscore the transformative impact of hosting PHDwin locally, strategically positioning the MS SQL server & instance in the same physical location. This localized approach significantly improves performance and cross-collaboration across teams.

Optimizing Efficiency: Unveiling the Role of Network Latency in On-Premise Data Processing for Oil and Gas Operations

Latency, often underestimated, is a silent disruptor in data processing. In the oil and gas industry, where decisions are made in real-time and accuracy is paramount, even milliseconds can make a difference. Whether it’s retrieving well data, running complex simulations, or generating reports, the speed of data access directly influences operational agility.

Why PHDwin Local Hosting Makes a Difference:

Hosting PHDwin locally alongside the SQL server minimizes latency and optimizes data processing. Let’s explore how:

Proximity Equals Speed

When PHDwin and the SQL server are in the same location, data travels shorter distances, drastically reducing the time it takes for requests and responses. This proximity ensures that critical data is at your fingertips almost instantaneously.

This is critical for efficient oil and gas data management. When focusing on on-premise data processing, your organization will have control over the hardware stack and allow for optimization unavialble through cloud containers services.

Real-Time Economic Runs with No Time-out Errors

For oil and gas professionals running simulations or conducting real-time analytics, low latency is non-negotiable.

Local hosting allows for seamless and rapid execution, enabling quicker decision-making and analysis.

Because of the scope of PHDwin V3 eco-engine, PHDwin V3 needs access to the data server within seconds. If you opted for a cloud deployment or hybrid environment, you would face challenges associated with ping.

What is Ping

Ping refers to a network utility used to test the reachability of a host on an Internet Protocol (IP) network. It measures the round-trip time for data to travel from one point to another and return. The ping command sends a small packet of data to a specific IP address or domain and measures the time it takes for that packet to reach the destination and return back to the sender.

How does Ping relate to Latency

The problem with ping arises due to latency. Latency is the delay between the transmission of data and its receipt, and ping measures this delay. Several factors contribute to latency, such as the physical distance between the sender and receiver, the number of network devices the data must traverse, network congestion, and the speed of the connections.

Why do Ping and Latency Matter

High latency or a high ping can cause various issues, especially in real-time applications like online gaming, video calls, or stock trading, where immediate responses are crucial. It can result in delays, lag, or even disruptions in data transmission, affecting the overall user experience and functionality of these applications. Reducing latency is essential for ensuring smooth and efficient communication and data transfer across the internet.

In the context of PHDwin, delays in data availability lead to eco-engine waiting for data too long thus causing time-out errors.

Choose On-Premise Data Processing Today with PHDwin V3

Ready to supercharge your data processing? Explore the benefits of hosting PHDwin locally by scheduling a personalized demo today.

Are Cloud Solutions Safe for Oil & Gas Data?

Executive Summary

Article Focus

This article explores the risks of cloud solutions in oil & gas, citing Google Drive data loss as a cautionary tale.

Cloud is not as secure as you think
Data ownership is a real problem under cloud systems
Dependence on cloud providers poses significant switching cost risks and the potential for vendor lock-in.
Understanding Total Cost of Ownership requires a critical understanding of the underlying security infrastructure required to run the cloud.

Risk Assesment Summary

Highlights data ownership concerns, compliance challenges, and the threat of dependency and vendor lock-in.

Understanding Complexities & Dependencies for Cloud

There is extensive compounded dependence on shared technologies, visibility issues, and service disruptions when discussing the short-comings of cloud solutions.

Cost Evaluations

This article emphasizes the hidden total cost of ownership (TCO), potential vendor constraints, and data security vulnerabilities within centralized cloud systems.

Key Takeaways

The author urges a balanced approach to evaluating cloud solutions, emphasizing the need for rigorous risk assessment, contractual frameworks, and enhanced cybersecurity protocols to navigate the evolving cloud landscape in the industry.

Moreover, the article urges the reader to consider the historical alternative to cloud, on-premise, critically rather than through marketing heavy jargon which dominates the cloud versus on-prem discussion due to special interests.

Recently Google Drive Experienced Data Loss for several users. It begs the question, is Cloud as safe as people think it is?

Google is investigating reports of vanished personal files from Google Drive
One user lost data back to May, sought support but couldn’t recover files despite assistance.

Understanding the Risks | Oil and Gas Data Security

In the dynamic realm of the oil and gas industry, the embrace of cloud solutions appears as a beacon of modernity, promising seamless operations and enhanced efficiency. However, the allure of convenience often obscures a critical concern: the relinquishment of control over vital data assets. This poses risk for oil and gas data security and raises the question of which is the right oil and gas data management software.

Benefits of Cloud and the Trade-Offs

Cloud solutions undoubtedly offer an array of benefits, from scalable storage to real-time accessibility. Yet, within this seemingly boundless expanse of virtual infrastructure, lies a fundamental trade-off: the erosion of autonomy in data ownership and governance.

Is this a risk you are willing to take for your oil and gas production data? Oil and gas data security is the main concern of any operator, royalty firm, and firms looking to evaluate the financial health of an oil and gas company.

The Data Ownership Question

While cloud services tout robust security measures, the opacity of their internal workings leaves a lingering ambiguity. Who ultimately wields authority over the data? Can the assurances of encryption and access controls assuage the unease of potential breaches or unauthorized access?

The oil and gas data management software you choose should be one you can control and own.

Data Compliance and Regulation Questions

Moreover, the nature of regulatory compliance further complicates this landscape.

Different geographical jurisdictions impose distinct mandates regarding data storage, leading to a convoluted mesh of legalities that cloud providers must navigate.

Have you ever read the terms of conditions for Google? Probably not, but the reality is that those terms are there to protect Google the corporate entity, not you, the user.

Consequently, the jurisdictional sovereignty over this sensitive information becomes blurred, raising pertinent questions about accountability and liability.

In the event your oil and gas data security is compromised, the last thing you would want to worry about is involving several lawyers in several jurisdictions.

You should control your oil and gas data security within your own organization instead of trusting the so-called cloud software “savants”.

The Dependency Problem

Beyond the security quandaries, the dependency on cloud solutions might impede innovation. The tethering to specific platforms could stifle the freedom to explore novel analytics or deploy customized solutions that cater precisely to the unique needs of oil and gas operations. The prospect of vendor lock-in casts a shadow on the industry’s agility and capacity to evolve independently.

The allure of convenience must be balanced against the imperative of safeguarding critical assets and preserving sovereignty over proprietary data. Striking this equilibrium necessitates a meticulous evaluation of risk tolerance, robust contractual frameworks delineating ownership and control, and a continuous vigilance bolstered by robust cybersecurity protocols.

Ultimately, while cloud solutions present a compelling case for efficiency and scalability, the relinquishment of control over crucial data poses a problem. In the intricate landscape of the oil and gas sector, where confidentiality and precision are imperative, the journey towards the cloud necessitates a judicious assessment of the trade-offs between convenience and sovereignty.

In Critical Infrastructure and the Cloud: Policy for Emerging Risk by Tianjiu Zuo, Justin Sherman, Maia Hamin, and Stewart Scott, the authors discuss the problem of compounded dependence, delegated control and visibility.

Compounded Dependence, Delegated Control & Visibility Problem

Cloud systems heavily rely on a few core services and technologies to cater to diverse customer needs. This reliance on shared technologies across sectors increases efficiency but also amplifies risk. For instance, hypervisors, which enable multiple customers to use a single server, pose security threats if compromised. The use of common technologies, like Intel processors, creates vulnerabilities affecting multiple cloud service providers (CSPs). Despite vulnerabilities, on-premises deployments, while individually more vulnerable, have limited interconnectedness, making widespread attacks more challenging compared to cloud systems.

Shared responsibility models in cloud security have led to breaches due to misconfigurations by users, highlighting the need for clearer CSP guidance and support for secure configurations. However, systemic risks arise when a misconfiguration affects multiple deployments across CSPs, making them targets for attackers scanning for vulnerabilities.

Delegated control and visibility in cloud systems mean customers relinquish control over infrastructure, making risk management and oversight challenging for both customers and regulators. CSPs’ opaque infrastructure, subcontracting practices, and layered dependencies hinder visibility during security incidents. The lack of standardized logging and understanding of complex dependencies further complicates risk assessment.

The complexities inherent in cloud systems challenge even CSPs’ understanding of their own infrastructure. This opacity places the onus of managing systemic risks solely on CSPs, leaving regulators and customers with limited oversight. There’s a need for improved standardization, transparency, and shared responsibility among CSPs, regulators, and users in managing and mitigating cloud risks.

Service Disruptions and Downtime

The industry’s reliance on cloud infrastructure means susceptibility to service disruptions and downtime.

While providers often boast high uptime percentages, any unforeseen downtime—be it due to technical issues, cyberattacks, or maintenance—can halt critical operations.

For an industry where uninterrupted data access and real-time analytics are pivotal, such disruptions pose a substantial risk to productivity and decision-making.

Cloud computing outages are on the rise, and some of the problems may only get worse. Read more about why cloud computing outages are a real and rising risk here. Oil and gas data in the cloud is a belief fueled by high marketing spend by cloud providers, but oftentimes lacks any real evidence for claims of reliability, speed, or cost savings.

One key idea regarding service disruptions is the cost associated with downtime. When operations are halted, what does it cost the business in terms of overhead, and what does it cost to fix the issues, can they be fixed?

Vendor Lock-in and Adaptability

Cloud dependency may lead to vendor lock-in, limiting flexibility and adaptability.

As technology evolves or operational needs change, the challenge of migrating away from a particular cloud provider becomes daunting. This lack of portability may hinder the industry’s ability to embrace innovative solutions or adapt swiftly to emerging technologies, impeding progress and growth.

Not only can your data get locked within a given provider, price increases are all too common. Read more about the inflating cost of cloud servicing here.

The most important thing to consider when evaluating a cloud solution is the “Exit Price”. Meaning, how much could it cost to switch back to a on-premise solution or another cloud solution. Is it even possible to move the data easily? Will the cloud provider make it easy or drop ASCII data that you can barely read? These are costs which are externalized when you first sign-up for a cloud service, but which can pose serious risk down the road.

The “Cloud Solutions” of Oil and Gas and their Risks

In recent years several firms have entered the oil and gas ecosystem flush with VC funding and with VC dreams aching to replicate 10X returns. Oftentimes, the rush for high-margins means convoluting existing technology stacks in favor of pricier cloud alternatives.

But can the one-trick pony that is cloud modernization work in oil and gas? They say it worked in healthcare, defense, and transportation. So they say. The question is are these the solutions you should rely on for your oil and gas data management software needs?

A quick Google search on the success of the cloud in healthcare, defense, and transportation will yield several consultants, service providers, and venture capitalist articles on how successful the cloud is.

But you know who else is growing their margins as cloud adoption grows? The cybersecurity firms.

You see dear reader, cloud seems cheap when you think of the rates in the first or second year. In other words, the teaser rate is a blessing for the headaches it seems to solve. But give me another week and I’ll give you a real teaser of the real total-cost of ownership (TCO) of cloud. The sticker shock is real, it’s just not as easy to see as that on-premise server which you pay in cash and then have to set up.

A real problem arises when oil and gas companies become locked-in with a given vendor, have to bear subpar service and software performance, and then are at risk of losing their data and have to temporarily halt operations.

This barely begins to discuss the real total cost of ownership problem and data security issues that will continue to grow as centralized cloud becomes a larger target for cyber crime.

Are Cloud Solutions Safe for Oil & Gas Data?

Executive Summary

Article Focus

This article explores the risks of cloud solutions in oil & gas, citing Google Drive data loss as a cautionary tale.

Cloud is not as secure as you think
Data ownership is a real problem under cloud systems
Dependence on cloud providers poses significant switching cost risks and the potential for vendor lock-in.
Understanding Total Cost of Ownership requires a critical understanding of the underlying security infrastructure required to run the cloud.

Risk Assesment Summary

Highlights data ownership concerns, compliance challenges, and the threat of dependency and vendor lock-in.

Understanding Complexities & Dependencies for Cloud

There is extensive compounded dependence on shared technologies, visibility issues, and service disruptions when discussing the short-comings of cloud solutions.

Cost Evaluations

This article emphasizes the hidden total cost of ownership (TCO), potential vendor constraints, and data security vulnerabilities within centralized cloud systems.

Key Takeaways

Recently Google Drive Experienced Data Loss for several users. It begs the question, is Cloud as safe as people think it is?

Google is investigating reports of vanished personal files from Google Drive
One user lost data back to May, sought support but couldn’t recover files despite assistance.

Understanding the Risks | Oil and Gas Data Security

Benefits of Cloud and the Trade-Offs

The Data Ownership Question

The oil and gas data management software you choose should be one you can control and own.

Data Compliance and Regulation Questions

Moreover, the nature of regulatory compliance further complicates this landscape.

Different geographical jurisdictions impose distinct mandates regarding data storage, leading to a convoluted mesh of legalities that cloud providers must navigate.

Have you ever read the terms of conditions for Google? Probably not, but the reality is that those terms are there to protect Google the corporate entity, not you, the user.

Consequently, the jurisdictional sovereignty over this sensitive information becomes blurred, raising pertinent questions about accountability and liability.

In the event your oil and gas data security is compromised, the last thing you would want to worry about is involving several lawyers in several jurisdictions.

You should control your oil and gas data security within your own organization instead of trusting the so-called cloud software “savants”.

The Dependency Problem

Compounded Dependence, Delegated Control & Visibility Problem

Service Disruptions and Downtime

The industry’s reliance on cloud infrastructure means susceptibility to service disruptions and downtime.

While providers often boast high uptime percentages, any unforeseen downtime—be it due to technical issues, cyberattacks, or maintenance—can halt critical operations.

For an industry where uninterrupted data access and real-time analytics are pivotal, such disruptions pose a substantial risk to productivity and decision-making.

Vendor Lock-in and Adaptability

Cloud dependency may lead to vendor lock-in, limiting flexibility and adaptability.

Not only can your data get locked within a given provider, price increases are all too common. Read more about the inflating cost of cloud servicing here.

The "Cloud Solutions" of Oil and Gas and their Risks

But you know who else is growing their margins as cloud adoption grows? The cybersecurity firms.

This barely begins to discuss the real total cost of ownership problem and data security issues that will continue to grow as centralized cloud becomes a larger target for cyber crime.

Automating Prospect Cases with Project Management

Shishen (Ipher) Li, international sales and training for PHDwin, explores the process of predrill evaluations. He uses PHDwin to demonstrate normalized curves, prospect case creation, and project manager and then builds upon each with type curve building, shifting/managing drilling schedules, and changing project dates.

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Use of Incrementals in Re-fractured Wells in V3

Adan Jordan, a newly-minted Engineer in Training (EIT) and PHDwin expert will walk you through performing an incremental analysis in PHDwin V3. Using a group of refractured gas wells in the Haynesville Shale play, we will obtain an understanding of incremental reserve and economic value of re-fracturing the wells of interest.

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