TOPICS OF INTEREST
Upstream Digitalization Is Proving Itself in the Real World
For the upstream industry, where improvement in efficiency or production can drive significant financial results, there is no question that the size of the digital prize is huge. So are the challenges.
Production-Logging Technologies Enhance Inflow Profiling in Deepwater Gulf of Mexico
This paper discusses the effectiveness of third-generation (Gen3) production-logging-tool (PLT) technology, which uses co-located digital sensors for simultaneous acquisition of flow data to provide the most accurate characterization of the flow condition at each depth surveyed.
Machine-Learning-Based Early-Warning System Maintains Stable Production
This paper describes an accurate, three-step, machine-learning-based early warning system that has been used to monitor production and guide strategy in the Shengli field.
Virtual Metering Tool Brings Real-Time Benefits to Production Monitoring
This paper describes a virtual metering tool that can monitor well performance and estimate production rates using real-time data and analytical models, integrating commercial software with an optimization algorithm that combines production and reservoir information.
Production monitoring requires heightened degrees of precision and efficiency as operations are streamlined and projects are evaluated continuously. This month’s feature focuses on innovative technologies that have been implemented in environments ranging from the Gulf of Mexico to China.
Field Applications of Constrained Multiwell Deconvolution
This paper applies a new constrained multiwell deconvolution algorithm to two field cases: a gas reservoir with two producers and an oil reservoir with three producers and one injector.
Sensor Array Enables Accurate Profiling of Produced Fluids During Drillstem Tests
This paper describes the use of a downhole temperature-sensor array during a commingled drillstem test (DST) to determine the density of produced fluids accurately.
Insights From Interval Pressure Transient Tests Derive Key Fracture Parameters
The complete paper describes the shortcomings of traditional well testing methods and the methodology and results of applying wireline-conveyed IPTT in a light-oil reservoir offshore Norway.
In my inaugural column as editor of the Well Testing Technology Focus feature, I want to shine a light on the notable trend among operators of seizing on the tremendous untapped potential that exploration and appraisal wells represent for far-field reservoir characterization and connectivity.
Liquid-Loading-Mitigation Strategies Maximize Recovery From Gas Reservoirs
To predict liquid-loading tendencies and to identify opportunities for production enhancement, the performance of 150 gas wells was analyzed in two gas fields in India.
Artificial Intelligence Transforms Offshore Analog Fields Into Digital Fields
This paper details how artificial intelligence was used to capture analog field-gauge data with a dramatic reduction of cost and an increase in reliability.
Field Trial of Cloud-Connected Wireless Completion System
This paper describes the development and field trials of a cloud-connected, wireless intelligent completion system that enables long-term monitoring and interval control to enhance production management by connecting the user wirelessly from the desktop to downhole inflow-control valves.
Smart Robotic System Tracks Buried Pipelines, Inspects for External Damage
The complete paper describes the development of a smart robotic inspection system for noncontact condition monitoring and fault detection in buried pipelines.
Analytical Study Examines Production of Multistage Horizontal Wells in the Bakken
Multistage horizontal well designs were first implemented in the Bakken in 2007. Since then, more than 12,000 wells have been completed in either the Middle Bakken or Three Forks zones.
Integrated Deepwater MPD Control System Increases Accuracy, Ease of Use
This paper presents lessons learned regarding design, testing, and installation of a completely integrated managed-pressure-drilling (MPD) control system on a deepwater drilling rig.
MPD Monitoring Technique Allows Rapid Redesign, Flexibility
This work focuses on the development of specific methodologies to support managed-pressure-dilling (MPD) operations implemented on real-time diagnostic software.
Alliances Drive Upstream Digital Deployment
Partnerships with big tech, tech startups, and innovative service companies—and the merging of their data, cloud, and software applications—are proving essential for operators in the scaling phase of digital deployment. Equinor, Microsoft, and Halliburton are among those joining forces.
Integrating Fractional Flow Into Reservoir Surveillance Improves GOM Production
A case study in the deepwater Gulf of Mexico in which pressure transient analysis, fractional flow, and production logging tools were integrated to identify correctly the cause of, and execute an effective remedy for, a well’s productivity deterioration.
Anadarko’s Digital Legacy Offers a Template for Others
The large independent put together a team of data scientists, software developers, and petrotechnical staff to create a forward-looking vision for how to use digital technology to solve problems.
Baker Hughes Adds an AI Option
Baker Hughes is still a GE company, but it has partnered with a second company for artificial intelligence expertise, C3.ai. The deal is expected to speed the integration of AI into oilfield operations by the company which also markets GE’s device analytics platform, Predix.
Built on Several New Tools, Marathon’s Digital Oilfield is Maturing
Marathon Oil says its shale fields are producing more oil and gas with less hands-on work from company personnel thanks to a growing arsenal of digital technologies and workflows.
How Southeast Asian Upstream Operators Are Digitalizing
Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon.
Analytics Solution Helps Identify Rod-Pump Failure at the Wellhead
This paper presents an analytics solution for identifying rod-pump failure capable of automated dynacard recognition at the wellhead that uses an ensemble of ML models.
Augmented Artificial Intelligence Improves Data Analytics in Heavy-Oil Reservoirs
The authors of this paper propose a novel work flow for the problem of building intelligent data analytics in heavy-oil fields.
As you read the examples in this section, you will see that a change is already under way in that the methods that are being used are increasingly not oil-and-gas-specific but instead follow patterns that are being used in other industries.
Intelligent Completion in Water-Injector Well Improves Field Development
The operator piloted a new well-completion design combining inflow-control valves (ICVs) in the shallow reservoir and inflow-control devices (ICDs) in the deeper reservoir, both deployed in a water-injector well for the first time in the company’s experience.
Surface-to-Borehole Electromagnetics Hold Promise for 3D Waterflood Monitoring
The authors detail the development of a technique based on surface-to-borehole controlled-source electromagnetics (CSEM), which exploits the large contrast in resistivity between injected water and oil to derive 3D resistivity distributions, proportional to saturations, in the reservoir.
This industry is one often considered reactive and overly tradition-bound. These new technologies, however—and, more importantly, the drive of these researchers to harness their capabilities—prove that petroleum engineers remain at the forefront of innovation and discovery.
Permanent Fiber-Optic System Monitors Oil-Rim Movement
In this paper, the authors describe a project to design, field trial, and qualify an alternative solution for real-time monitoring of the oil rim in carbonate reservoirs that overcomes these disadvantages.
Machine Learning Improves Accuracy of Virtual Flowmetering and Back-Allocation
In this study, the authors investigated a fully data-driven approach using artificial neural networks (ANNs) for real-time virtual flowmetering and back-allocation in production wells.
The papers selected for this issue focus on key factors in achieving a successful well test. They also apply reservoir fundamentals as well as sound engineering judgment, with examples from conventional and unconventional assets.
Equinor Opens Digital Support Centers in Bid to Create $2 Billion in Value
Two new centers in Bergen, Norway will lean on emerging digital technology to oversee much of the Norwegian operator’s offshore operations.
Fighting Water With Water: How Engineers Are Turning the Tides on Frac Hits
If the shale sector’s most complex problem can be solved, it will require companies to use their wells as a team. Newly detailed field work shows that a good defense is the key to success.
Permian Pulse: Using Satellite Imagery Analytics To Track the World’s Busiest Oil Play
Companies are bringing satellite monitoring to the unconventional oilfield—namely the Permian Basin—where they are training machine learning models to track and predict drilling and completions work.
WATCH: 2018 ATCE Opening Session
These days, it is all about digital. Click to find out what industry leaders from Encana, Google, Schlumberger, and Shell have to say about the ongoing transformation towards data-driven profitability.
Taking an Inside Look at Wellhead Monitoring and Metering
The data collected via monitoring and metering applications are increasingly viewed as central to assessing production performance and in decision making to optimize field development and operations.
Lessons From 10 Years of Monitoring With Chemical Inflow Tracers
Initial development of inflow tracers was designed to provide qualitative information about the location of water breakthrough in production wells. The proof of concept and application for water detection initiated the development of oil tracers for oil-inflow monitoring.
Model Helps Guide Choke-Management Strategies Under Constraints
In this paper, the authors propose a coupled wellbore/reservoir model that performs dynamic nodal analysis using integrated models for surface-facilities, wellbore, and reservoir simulators and allows an operator to select choke sizes as a function of time.
Reservoir-Surveillance Data Creates Value in Fractured-Carbonate Applications
The objective of this paper is to illustrate a methodology for identifying the value of information (VOI) in reservoir management—in particular, for deriving the conditional probabilities of success when new and imperfect data are acquired.
Equinor To Employ Permanent Reservoir Monitoring at Arctic, North Sea Fields
The technology will provide Equinor a continual feed of updated reservoir information from its Johan Castberg and Johan Sverdrup fields with the aim of improving well placement, production, injection, and—ultimately—recovery.
Innovation Leaders to Meet in Scotland at SPE ENGenious Event
A new event is kicking off in September that will bring together the brightest minds in digital tech and oil and gas.
Old CaTS Technology Learns a New Trick
Acquiring data from an abandoned subsea well has been done before, but never quite like this.
Embedded Discrete Fracture Modeling With Artificial Intelligence in Permian Basin
Intelligent Completion in Laterals Becomes a Reality
A producer and a service company have collaborated to develop a downhole system to merge multilateral technology and intelligent completions to create “smart laterals.”
A Neural-Network Approach for Modeling a Water-Distribution System
The authors present a new data-driven approach to estimate the injection rate in all noninstrumented wells in a large waterflooding operation accurately.
Intelligent Fields Technology
What I find impressive is the number of people who were hiding in normal discipline jobs who are coming out of the closet with their Python scripts. And, it’s working. In many ways, order is coming to the mess, efficiency is coming to tiresome manual activities, and richness is coming to decisions.
Rapid S-Curve Update Using Ensemble Variance Analysis With Model Validation
In the complete paper, the authors propose a novel method to rapidly update the prediction S-curves given early production data without performing additional simulations or model updates after the data come in.
Enhancing Model Consistency in Ensemble-Based History Matching
The aim of this work is to present the effectiveness of a fully integrated approach for ensemble-based history matching on a complex real-field application.
First Three-Zone Intelligent Completion in Brazilian Presalt: Challenges and Lessons
Since the first intelligent completion was installed 20 years ago, the systems have become increasingly complex in order to reach productivity and optimization goals, allowing real-time independent monitoring and management of each zone in the well.
A Permanent Fiber-Optic Wellbore-Fluid-Level Monitoring System
In a collaborative project, the possibility of measuring fluid levels in a wellbore by use of distributed optical pressure gauges was conceived, prototyped, field-trialed, and further developed to a point of widespread commercialization.
Improved Monitoring System for Heavy-Oil Steam-Assisted-Gravity-Drainage Wells
The complete paper provides an overview of the development of fiber-optic sensing for steam-assisted-gravity-drainage (SAGD) applications, including a review of more than 10 years of work in development and field applications in western Canada.
Implementing an Integrated Production Surveillance and Optimization System
The complete paper describes some of the technical challenges faced in deepwater operations and the methodology adopted for implementing an integrated production surveillance and optimization (IPSO) system to mitigate the risks.
Integrated Surveillance Offshore Turkmenistan
The complete paper describes a work flow in which wells and production networks in the Cheleken Block offshore Turkmenistan are automatically modeled daily with steady-state and transient tools and ultimately analyzed by the Cheleken Block Central Data Gathering System.
There are two ongoing trends in the industry. The first is an increasing wave of digitization. Second, piggybacking on the increased access to sensor and equipment data, analytics and artificial intelligence are on an exponential rise in the industry.
The papers selected for this issue cover advances and opportunities in well testing. They also apply reservoir fundamentals as well as sound engineering judgment, using quantity but also quality data sets from conventional and unconventional assets.
New SCADA Systems Help Operators Fulfill Potential of the Digital Oil Field
Supervisory control and data acquisition systems no longer simply monitor operations and produce large volumes of data in static displays, but now collect production data from all operation data sources and contextualize and present them to workers in real time as meaningful, actionable information.
Q&A: Rockwell Automation Aims To Unify Data Collection Systems, Optimize Analysis
Rockwell Automation’s Luis Gamboa explains his company’s new solution designed to allow operators to collect, sort, and reconcile the quality and quantity of data from multiple sources to optimize field data.
Cointerpretation of Distributed Acoustic and Temperature Sensing for Inflow Profiling
With the availability of more-complex smart-well instrumentation, immediate evaluation of the well response is possible as changes in the reservoir or well occur.
Efficient Optimization Strategies for Developing Intelligent-Well Business Cases
The complete paper evaluates optimization techniques to develop, or support, business cases for intelligent or smart wells.
Intelligent Fields Technology
The most-competitive emerging systems blend artificial intelligence to bring better efficiency to the human work that results in good business decisions. As a result, we waste less time and fewer resources finding and manipulating data and focus more on complex engineering judgment.
Cost-Effective Production Metering and Allocation in a Mature Offshore Oil Field
This paper describes how the use of production-modeling tools, coupled with field pressure/temperature-data-acquisition systems and programming software, served as a means to improve production allocation and surveillance on a real-time basis in the Greater Angostura Field.
Production Response in the Denver-Julesburg Basin
The authors used a high-quality digital-log data set to characterize reservoir quality accurately in the Niobrara and Codell Formations in the Denver-Julesberg (DJ) Basin.
Real-Time Production Surveillance and Optimization in a Mature Subsea Asset
A real-time production-surveillance and -optimization system has been developed to integrate available surveillance data with the objective of driving routine production optimization.
Novel Solutions for Transient Sandface Temperature in Dry-Gas-Producing Wells
The application of high-precision downhole temperature sensors has resulted in pressure-transient analysis (PTA) being complemented or replaced by temperature-transient analysis (TTA).
SAGD and Fiber-Optic Distributed Acoustic and Temperature Sensing
Distributed temperature sensing (DTS) is the most common fiber-optic measurement used for steam-assisted-gravity-drainage reservoir monitoring.
New Intelligent Completion System Enables Compartment-Level Control in Multilateral Wells
Although early inflow control devices and intelligent completions (ICs) were introduced almost 20 years ago, completion technology has not kept pace with advancements in drilling technology.
Intelligent Fields Technology
Over the last couple of decades, we have seen a steady stream of “intelligent” innovations go from ideas to infancy to catalog solutions.
Machine Learning Applied to Multiwell-Test Analysis and Flow-Rate Reconstruction
Permanent downhole gauges (PDGs) can provide a continuous record of flow rate and pressure, which provides extensive information about the reservoir. In this work, a machine-learning framework based on PDG data was extended to two applications: multiwell testing and flow-rate reconstruction.
Flow-Control Optimization Maximizes Accuracy of Multiphase-Flow Rate Allocation
This paper describes an “active” monitoring technique that uses a direct search method to optimize the sequence of interval-control-valve (ICV) positions during a routine multirate test in an I-well.
Intelligent-Completion Installations in the Santos Basin Presalt Cluster
This paper presents information regarding the installation of intelligent-well completions (IWCs) in the Lula and Sapinhoá fields of the Santos basin presalt cluster (SBPSC).
Is Industry Ready for Brownfields’ Prime Time?
The case for focusing on boosting recovery from older fields in a depressed drilling climate is compelling. At a breakfast session during IHS CERAWeek on squeezing more oil from brownfields in a low oil price environment, panelists discussed today’s improved field recovery capabilities.
Despite the recent market conditions during the last year, our industry continued to demonstrate further advances in the monitoring and surveillance field and to attest to the added value provided.
Achieving Well-Performance Optimization Through Work-Flow Automation
The Samarang oil field, offshore Sabah, Malaysia, is undergoing a redevelopment project with integrated operations. Several work flows were designed and deployed in order to achieve an early milestone of providing real-time well-performance monitoring, surveillance, and optimization.
Distributed Acoustic Sensing for Downhole Production and Injection Profiling
In the past decade, fiber-optic -based sensing has opened up opportunities for in-well reservoir surveillance in the oil and gas industry. In this paper, the authors present a recent example of single-phase-flow profiling with distributed acoustic sensing.
Deployment of a Remote Acoustic Monitoring System for Pipeline-Asset Integrity
Since 2007, an operator in Nigeria has registered a significant increase of oil-spill events caused by sabotage and oil-theft activities. The technology presented here allows detecting and locating leaks taking place at a distance from the sensor of up to 35 km.
Data Management and Communication
Many business and digital corporations claim that between 100 billion and 200 billion devices could be connected by 2020.
Pressure-Transient Analysis as an Element of Permanent Reservoir Monitoring
Permanent downhole gauges (PDGs) provide vast amounts of pressure-transient and rate data which may be interpreted with improved pressure-transient-analysis (PTA) approaches to gain more knowledge about reservoir dynamics.
Model-Based Evaluation of Surveillance-Program Effectiveness With Proxies
This paper proposes a framework based on proxies and rejection sampling (filtering) to perform multiple history-matching runs with a manageable number of reservoir simulations.
Mining Daily Driller’s Reports Looking for Telling Patterns
There is a lot of information buried in drilling reports written every day, but little of it appears in computer databases.
Optimizing Selection of Lateral-Re-Entry Wells Through Data-Driven Analytics
A new intelligent model that successfully learns from high-dimensional data and effectively identifies high-production areas and optimum lateral-re-entry candidates is presented.
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27 March 2020