Category Archives: Information Management

A master’s degree in Petroleum Data Management?

I had dinner with one of the VPs of a major E&P company last week. One of the hot topics on the table was about universities agreeing to offer MSc in Petroleum Data Management. Great idea!  I thought. But it brought so many questions to my mind.

 

Considering where our industry is with information management (way behind many other industries), I asked who will define the syllabus for this PDM MSc? The majors? The service companies? Small independents? Boutique specialized service providers? IMS professors? All of the above?

 

Should we allow ourselves to be swayed by the majors and giant service companies? With their funding they certainly have the capability to influence the direction, but is this the correct (or only) direction? I can think of few areas where majors implementation of DM would be an overkill for small independents, they would get bogged down with processes that make it difficult to be agile! The reason that made the independents successful with the unconventional.

 

What should the prerequisite be? A science degree? Any science degree? Is a degree required at all? I know at least couple exceptional managers, managing data management projects and setting up DM from scratch for oil and gas companies, they manage billions of dollars’ worth of data. They do not have a degree, what happens to them?

 

It takes technology to manage the data.  MSc in Petroleum Data Management is no different. But unlike petroleum engineering and geoscience technologies, technology to manage data progresses fast, what is valid today may not still be valid next year! Are we going to teach technology or are we teaching about Oil and Gas data? This is an easy one, at least in my mind it is, we need both. But more about the data itself and how it is used to help operators and their partners be safer, find more and grow. We should encourage innovation to support what companies need.

 

PPDM – http://www.ppdm.org/ is still trying to define some standards, POSC (Petrochemical Open Standards Consortium (I think that is what it stands for, but not sure) came and went, Energistics – http://www.energistics.org/ is here and is making a dent, Openspirit – http://www.tibco.com/industries/oil-gas/openspirit made a dent but is no longer non-profit. Will there be standards that are endorsed by the universities?

The variations from company to company in how data management is implemented today is large. Studying and comparing the different variations will make a good thesis I think…

I am quite excited about the potential of this program and will be watching developments with interest.

 

E&P Companies Looking to New Ways to Deliver Data Management Services to Improve efficiency and transparency

Effective data management, specifically in the exploration and production (E&P) business, has a significant positive impact on operational efficiency and profitability of oil and gas companies. Upstream companies are now realizing that a separate “Data Management” or “Data Services” department is needed in addition to the conventional IT department. Those Departments’ key responsibilities are to “professionally” and “effectively” manage E&P technical data assets worth millions, in some cases, billions of dollars.

Traditional Data Management Processes Cannot Keep up with Today’s Industry Information Flow 

Currently, day-to-day “data management” tasks in the oil and gas industry are directed and partially tracked using Excel spreadsheets, emails and phone calls. One of the companies I visited last month, was using excel to validate receipt of seismic data against contracts and PO; e.g. all surveys and all their associated data. Another one used excel to maintain a list of all Wire-line Log data ordered by petrophysicists in a month to compare to end-of-the-month invoices.

Excel might be adequate if an E&P company is small and has little ambition to grow. However, the larger a company’s capital (and ambitions) the more information and processes are involved to manage data and documents’ life cycle. Consider more than 20,000 drilling permits issued a year in Texas alone. Trying to manage this much information with a spreadsheet, some tasks are bound to fall through the cracks.

Senior managers are more interested than ever in the source , integrity and accuracy of information that affect and influence their HSE and financial statements.
Providing senior managers with such information requires transparent data management processes that are clearly defined, repeatable, verifiable and that  allow managers to identify, evaluate and address or alleviate any obvious or potential risks…. before they become a risk. Preferably all delivered efficiently and cost-effectively.

Choosing the Right E&P Data Management Workflow Tools

It’s tempting to stay with the old way of doing things – the “way we have always done it” – because you have already established a certain (and personal), rhythm of working, inputting and managing data. Even the promise of improved profitability and efficiency is often not enough to convince people to try something new. But the advantages of new workflow tools and programs cannot and should not be underestimated.

For example, a workflow tool can help automate the creation of data management tasks, log and document technical meta data,  track data related correspondence, alert you for brewing issues. When all set and done, data management department would be set for growth and for handling more load of work with out skipping a beat.  Growing by adding more people is not sustainable.

So, where to start?

There are multiple data management workflow tools available from a variety of different vendors, so how do you know which one will work best for your company? You will need to ensure that your workflow tool or software is able to do the following:

  • Keep detailed technical documentation of incoming data from vendors, thereby minimizing duplication of work associated with “cataloging” or “tagging”;
  • Integrate with other systems in your organizations such as Seismic, Contracts, Accounting…etc., including proprietary software programs;
  • Allow sharing of tasks between data managers;
  • Enable collaboration and discussion to minimize scattered email correspondence; and,
  • Automatically alert others of issues such as requests that still need to be addressed

 

 

Change Coming Our Way, Prepare Data Systems to Store Lateral’s Details.

Effectively, during the past decade, oil and gas companies have aimed their spotlight on efficiency. But should this efficiency be at the expense of data collection? Many companies are now realizing that it shouldn’t.

Consider the increasingly important re-fracturing effort.  It turns out, in at least one area, that only 45% of re-fracs were considered successful if the candidates were selected using production data alone.  However, if additional information (such as detailed completion, production, well integrity and reservoir characterization data) were also used a success rate of 80% was observed. See the snip below from the Society of Petroleum Engineer’s paper “SPE 134330” by M.C Vincent 2010).

Capture

Prepare data systems to store details, otherwise left in files.

Measurements while drilling (MWD), mud log – cuttings analysis and granular frac data are some of the data that can be collected without changing drilling or completion operations workflow and the achieved efficiency.  This information when acquired at the field will make its way to petrophysicists and engineers. Most likely it ends up in reports, folders and project databases.  Many companies do not think of this data storage beyond that.

We argue, however, to take advantage of this opportunity archival databases should also be expanded to store this information in a structured manner. This information should also funnel its way to various analytical tools. This practice will allow technical experts to dive straight into analyzing the wells  data instead of diverting a large portion of their time in looking for and piecing data together. Selecting the best re-frac candidates in a field will require the above well data and then some. Many companies are starting to study those opportunities.

Good data practices to consider

To maximize economic success from re-stimulation (or from first stimulation for that matter) consider these steps that are often overlooked:

  1. Prepare archival databases to specifically capture and retain data from lateral portions of wells. This data may include cuttings analysis, Mud log analysis, rock mechanics analysis, rock properties, granular frac data, and well integrity data.
  2. Don’t stop at archiving the data, but expose it to engineers and readily accessible to statistical and Artificial Intelligence tools. One of those tools is Tibco Spotfire.
  3. Integrate, integrate, integrate. Engineers depend on ALL data sources; internal, partners, third party, latest researches and media, to find new correlations and possibilities. Analytic platforms that can bring together a variety of data sources and types should be made available. Consider Big Data Platforms.
  4. Clean, complete and accurate data will integrate well. If you are not there yet, get a company that will clean data for you.

Quality and granular well data is the cornerstone to increasing re-frac success in horizontal wells and in other processes as well.  Collecting data and managing it well, even if you do not need it immediately, is an exercise of discipline but it is also a strategic decision that must be made and committed to from top down. Whether you are drilling to “flip” or you are developing for a long term. Data is your asset.

 

Capture The Retiring Knowledge

The massive knowledge that is retiring and about to retire in the next five years will bring some companies to a new low in productivity. The U.S. Bureau of Labor Statistics reported that 60% of job openings from 2010 to 2020 across all industries will result from retirees leaving the workforce, and it’s estimated that up to half of the current oil & gas workforce could retire in the next five to ten years.

For companies that do not have their processes defined and weaved into their everyday culture and systems — relying on their engineers and geoscientists knowledge instead — retirement of these professionals will cause a ‘brain drain,’ potentially costing these companies real down time and real money.

One way to minimize the impact of “Brain Drain” is by documenting a company’s unique technical processes and weaving them into training programs and, where possible, into automating technology. Why are process flows important to document? Process flow maps and documents are the geographical maps that give new employees the direction and the transparency they need, not only to ramp up a learning curve faster, but also to repeat the success that experienced resources deliver with their eyes closed.

For example, if a reservoir engineer decides to commission a transient test, equipment must be transported to location, the well is shut down and penetrated, pressure buildup is measured, data is interpreted, and BHP is extrapolated and Kh is calculated.
The above transient test process, if well mapped, would consist of: 1) Decisions 2) Tasks/ Activities 3) A Sequence Flow 4) Responsible and Accountable Parties 5) Clear Input and Output 6) and Possible Reference Materials and Safety Rules. These process components, when well documented and defined, allow a relatively new engineer to easily run the operation from start to end without downtime.

When documenting this knowledge, some of the rules will make its way in contracts and sometimes in technology enablers, such as software and workflow applications. The retiring knowledge can easily be weaved into the rules, reference materials, the sequence flow, and in information systems.

Documenting technical processes is one of the tools to minimize the impact of a retiring workforce. Another equally important way to capture and preserve knowledge is to ensure that data in personal network drives is accumulated, merged with mainstream information, and put in context early enough for the retiring workforce to verify its accuracy before they leave.

Processes and data  for a company make the foundation of a competitive edge, cuts back on rework and errors, and helps for quickly identifying new opportunities.

To learn more about our services on Processes or Data contact us at info@certisinc.com

In-hand data, both internal and external, can be the difference between millions of dollars gained or millions of dollars lost

The Eagle Ford… Bakken… Permian… Montney… Booming plays with over 50 active operators each. Each operator brings its own development strategy and its own philosophy. While some operators appear successful in every unconventional play they touch, others always seem to come last to the party, or to miss the party altogether. Why?

 Information. With all things being equal (funding availability, access to geoscience and engineering expertise), one variable becomes timely access to quality information and understanding what the data is telling you, faster than the competition.

 “Few if any operators understand how (shale) behaves, why one fracture stage within a well produces 10 times more oil or gas than its neighbor, or how to find sweet spots to overcome inequity.”  Colorado School of Mines Rhonda Duey

 Over 60 operators in the Eagle Ford alone. Studying the strategy and philosophy of each operator in a play would, should, yield insight as to what works, what does not work and why? Landing depth, fracking parameters, lateral length, flow-back design, etc… All may matter, all may contribute to better production rates, better ultimate recoveries and better margins. And yes, each play really is unique.

 WHERE TO LOOK?

 A wealth of information from each operator is buried in shareholders’ presentations, their reported regulatory data, and published technical papers. Collecting relevant information and organizing it correctly will enable engineers and geo staff to find those insights. Today, engineers and geologists cannot fully take advantage of this information as it’s not readily consumable and their time is stretched as it is.

 We all agree, taking advantage of Shale plays is not only about efficiency, but it is also about being effective. The fastest and cheapest way to effectiveness is to build on what others have proven to work and avoid what is known not to work.

 Here are some thoughts on how to leverage external data sources to your advantage:

  • Understand the goal of the study from engineers and geoscientists. Optimized lateral completion? Optimized fracking? Reducing drilling costs? All of the above?
  • Implement “big data” technology with a clear vision of the output. This requires integration between data systems to correlate data from various external sources with various internal sources.
  • Not ready to invest in “big data” initiatives or don’t have the time? Outsource information curation (gathering and loading data) for focused studies.
  • Utilize data scientists and analytical tools to find trends in your data, then qualify findings with solid engineering and geoscience understanding.
  • Consider a consortium among operators to exchange key data otherwise not made available publicly. If all leases are leased in the play, then the competition among operators is over. Then shouldn’t play data be shared to maximize recovery from the reservoirs?
  • Build a culture of “complete understanding” by leveraging various sources of external data. 

Better Capital Allocation With A Rear-View Mirror – Look Back

In front of you are two choices: Tie up $100 million with low return or over spend by $50 million with no reliable return. Which option do you choose? Neither is acceptable.

“It seemed we were either tying up cash and missing on other opportunities, or overspending where we should not have in the first place,” said a former officer of a US independent. “We heard great stories at presentations from engineers and geoscientists as they were painting the picture to executives to fund their programs. But at the end of the year, the growth was never where we had expected it to be.”

Passing by poor investments through better allocation of capital greatly enhances company performance. To achieve this, executives needed a system to look back and evaluate what each asset team had predicted compared to the actual performance of the asset. They needed a look-back system where hindsight is always 20/20.

A look-back system is beneficial not only for better capital allocation, but also to identify and understand the reasons for low or high performance of an investment.

Implementing a look-back system is data intensive. The data needed, however, typically has already been collected and stored as part of everyday operations. For example most companies have an AFE system that captures predicted economics of well projects. All companies keep system(s) to capture production volumes and accounting data for both revenue and costs.  Data for evaluating an investment after-the-fact is already available – for the most part.  The reason executives did not have a look-back system was buried in their processes. In how each asset’s economic returns are calculated and allocated.

Here are few tips to consider when implementing a look-back system for an oil and gas company:

  • Start with the end. Identify the performance indicators (KPI) required to measure assets’ performance.
  • Standardize how economics are prepared by each asset team. Only then will you be able to compare apples to apples.
  • Allocate costs and revenue back to each well. Granularity matters and is key. With granularity, mistakes of lumping costs under a wrong category can be avoided and easily rectified.
  • Missing information for the KPI’s? Introduce processes to capture and enter data in company’s systems (historically this information may be in presentation slides and personal spreadsheets).
  • If well information is scattered across systems, data integration will be needed. Well, AFE, Production, Reserves, and Accounting data will need to be correlated.
  • Automate the generation of information to executives. Engineers and geoscientist should not have to prepare reports at the end of each month or quarter to management. Their time is FAR better spent making money and assets work harder for their investors.
  • Know it is a change to the culture. Leadership support must be behind the initiative and well communicated throughout the stake holders.

“Once we implemented a look-back system, we funded successful teams more and reduced the budget from under performing assets, then we utilized the freed money to grow. We were a better company all around” – Former Officer of a Large Independent.

Bring It On Sooner & Keep It Lifting Longer. Solutions To Consider For ESPs (Or Any Field Equipment)

Settled on average 6,000 feet below the surface, electrical submersible pumps (a.k.a ESPs) provide artificial lift for liquid hydrocarbons for more than 130,000 wells worldwide.
Installing the correct ESP system for the well, installing it precisely, and careful monitoring of the system is paramount to reducing the risk of a premature end to an ESP life cycle. But the increasingly long laterals of horizontal wells, along with rapid drilling in remote areas, is creating challenges for efficient operations and the ESP’s life span. Implementing the correct processes and data strategies will, undoubtedly, be the cheapest and fastest way to overcome some of the challenges.

1- Implement A Process Flow That Works, Break The Barriers

When a decision is made to install an ESP in a well, a series of actions are triggered: preparing specifications, arranging for power, ordering equipment, scheduling operations, testing, and finally installing it in a well, to state a few. These actions and decisions involve individuals from multiple departments within an organization as well as external vendors and contractors. These series of actions form a process flow that is sometimes inefficient and is drawn out, causing delays in producing revenue. In addition, sometimes processes fall short causing premature pump failures that interrupt production and raise operational costs.
Research of many industry processes shows communication challenges are one of the root causes for delays, according to LMA Consulting Group Inc. Furthermore, communication challenges increase exponentially when actions change hands and departments. A good workflow will cut across departmental barriers to focus on the ultimate goal of making sure Engineering, Procurement, Logistics, accounting, vendors, contractors and field operations all are on the same page and have a simple and direct means to communicate effectively. But more importantly, the workflow will allow for the team to share the same level of urgency and keep stakeholders well informed with the correct information about their projects. If you are still relying on phones, papers and emails to communicate, look for workflow technology that will bring all parties on one page.

A well-thought through workflow coupled with fit-for-purpose technology and data is critical, not only to ensure consistent successful results each time but also to minimize delays in revenue.

2- ESP Rented Or Purchased, It Does Not Matter… QA/QC Should Be Part Of Your Process

Although ESPs are rented and the vendor will switch out non-performing ones, ensuring that the right ESP is being installed for a well should be an important step of the operator’s process and procedures. Skipping this step means operators will incur the cost of shut downs and tempering of reservoir conditions that may otherwise be stabilized – not to mention exposure to risks each time a well is penetrated.
More importantly a thoughtful workflow ensures a safe and optimal life span for ESPs regardless of the engineers or vendors involved, especially in this age of a mass retiring of knowledge.

At today’s oil prices, interrupted production for a well of 1,000 barrels per day will cost an operator at least $250,000 of delayed revenue for a 5 day operation. Predictive and prescriptive analytics in addition to efficient processes can keep the interruption to the minimum if not delay it altogether.

3- Know Why And How It Failed Then Improve Your Processes – You Need The Data And The Knowledge

One last point in this blog: Because ESPs consist of several components, a motor, a pump, a cable, elastomer, etc… ESP failure can, therefore, be electrical, mechanical, thermal or fluid/gas composition. Capturing and understanding the reasons for a failure in a system to allow for effective data analysis provides insight that can be carried forward to future wells and to monitoring systems. Integrating this knowledge into systems such as predictive analysis or even prescriptive analytic to guide new engineers will have an effect on operator’s bottom-line. A few vendors in the market offer these kind of technology, weaving the right technology, data and processes to work in synergy is where the future is.

On how to implement these solutions please contact our team at info@certisinc.com.

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