Impact of Fit-for-Purpose Monitoring on EOR Planning

2021 ◽  
Author(s):  
Jaime Eduardo Moreno ◽  
Yunlong Liu ◽  
Oluwale Talabi ◽  
Omer Gurpinar ◽  
Morten Kristensen ◽  
...  
Keyword(s):  
Control Strategies ◽  
Time Lapse ◽  
Monitoring Strategy ◽  
Reservoir Performance ◽  
Fit For Purpose ◽  
Reduce Risk ◽  
Pilot Design ◽  
Monitoring Technologies ◽  
Performance Heterogeneity ◽  
Structured Approach

Abstract Challenges in the design of efficient EOR field pilots have been discussed and documented in the industry, particularly when it comes to optimization of monitoring plans for technical and economical perspectives. This paper explores the benefits of pilot planning where the monitoring/control strategies are included in the early stages of the design to reduce risk of measurements ambiguity and ensure good quality pilot results evaluation. It addresses the use of new and existing technology in monitoring by highlighting the advantages and challenges of each alternative including potential pairing of complementary options to achieve the pilot objectives including illustration of the use of continuous and sporadic measurements on the evaluation. The proposed approach starts with a review of reservoir performance, heterogeneity and pilot objectives to ascertain the plausible monitoring technologies/strategies to aid during the pilot de-risking, followed by the identification of adequate novel and mature monitoring options, which are specific to EOR type and measurement nature (permanent, time lapse, etc.). Advantages of incorporating the monitoring strategy as integral part of the pilot design, as well as evaluation of the effectiveness/viability in the presence of uncertainty of the selected monitoring alternatives are discussed providing a reference of suitable/plausible EOR specific technologies. The paper illustrates the importance of selecting monitoring alternatives that feed off each other and the importance of using fit-for-purpose evaluation algorithms and a digitally enabled, structured approach to analyze and democratize pilot results and enable actionable decisions in operations.

BioMeT and algorithm measures: A proposed standardized evaluation framework (Preprint)

2019 ◽  
Author(s):  
Alan Godfrey ◽  
Jennifer Goldsack ◽  
Pamela Tenaerts ◽  
Clara Aranda ◽  
Azad Hussain ◽  
...  
Keyword(s):  
Healthcare Professionals ◽  
Evaluation Framework ◽  
Audit Trail ◽  
Digital Medicine ◽  
Fit For Purpose ◽  
Monitoring Technologies

UNSTRUCTURED Technology is advancing at extraordinary rates with novel data being generated which could potentially revolutionary different therapeutic areas of medicine. However, adoption is medicine is hampered by a lack of trust, particularly for biometric monitoring technologies (BioMeTs) where a key question facing frontline healthcare professionals is are BioMeTs fit for purpose? Here, we discuss pragmatic barriers and guidance regarding BioMeTs, cumulating in a proposed guidance framework to better inform their development and deployment in digital medicine. Furthermore, the framework proposes a process to establish an audit trail of BioMeTs (hardware and algorithms), to instil trust amongst multidisciplinary users.

Interpretation of Permanent Well Monitoring Data to Improve Characterization of a Giant Oil Field

2021 ◽  
Author(s):  
Hans Christian Walker ◽  
Anton Shchipanov ◽  
Harald Selseng
Keyword(s):  
Reservoir Characterization ◽  
Time Lapse ◽  
Interference Analysis ◽  
Pressure Transient ◽  
Pressure Transients ◽  
Reservoir Simulations ◽  
Production History ◽  
Fault Leakage ◽  
Fit For Purpose

Abstract The Johan Sverdrup field located on the Norwegian Continental Shelf (NCS) started its production in October 2019. The field is considered as a pivotal development in the view of sustainable long-term production and developments on the NCS as well as creating jobs and revenue. The field is operated with advanced well and reservoir surveillance systems including Permanent Downhole Gauges (PDG), Multi-Phase Flow-Meters (MPFM) and seismic Permanent Reservoir Monitoring (PRM). This provides an exceptional basis for reservoir characterization and permanent monitoring. This study focuses on reservoir characterization to improve evaluations of sand permeability-thickness and fault transmissibility. Permanent monitoring of the reservoir with PDG / MPFM has provided an excellent basis for applying different methods of Pressure Transient Analysis (PTA) including analysis of well interference and time-lapse PTA. Interpretation of pressure transient data is today based on both analytical and numerical reservoir simulations (fit-for-purpose models). In this study, such models of the Johan Sverdrup reservoir regions have been assembled, using geological and PVT data, results of seismic interpretations and laboratory experiments. Uncertainties in these data were used to guide and frame the scope of the study. The interference analysis has confirmed communication between the wells located in the same and different reservoir regions, thus revealing hydraulic communication through faults. Sensitivities using segment reservoir simulations of the interference tests with different number of wells have shown the importance of including all the active wells, otherwise the interpretation may give biased results. The estimates for sand permeability-thickness as well as fault leakage obtained from the interference analysis were further applied in simulations of the production history using the fit-for-purpose reservoir models. The production history contains many pressure transients associated with both flowing and shut-in periods. Time-lapse PTA was focused on extraction and history matching of these pressure transients. The simulations have provided reasonable match of the production history and the time-lapse pressure transients including derivatives. This has confirmed the results of the interference analysis for permeability-thickness and fault leakage used as input for these simulations. Well interference is also the dominating factor driving the pressure transient responses. Drainage area around the wells is quickly established for groups of the wells analyzed due to the extreme permeability of the reservoir. It was possible to match many transient responses with segment models, however mismatch for some wells can be explained by the disregard of wells outside the segments, especially injectors. At the same time, it is a useful indication of communication between the regions. The study has improved reservoir characterization of the Johan Sverdrup field, also contributing to field implementation of combined PTA methods.

scholarly journals Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes

2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Control Strategies ◽  
Smart Manufacturing ◽  
Monitoring And Control ◽  
Large Sets ◽  
Production Processes ◽  
Recent Developments ◽  
Monitoring Technologies ◽  
And Control ◽  
Industrial Measurement

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.

Processing and quality-control strategies for consistent time-lapse seismic attributes: A case history on an internal blowout using vintage data

Geophysics ◽  
2017 ◽  
Vol 82 (4) ◽  
pp. B135-B146 ◽  
Author(s):  
Hung Nho Dinh ◽  
Mirko van der Baan ◽  
Martin Landrø
Keyword(s):  
Quality Control ◽  
Control Strategies ◽  
Time Lapse ◽  
Reflection Seismic ◽  
The North ◽  
Processing Strategies ◽  
3D Data ◽  
Site Survey ◽  
The North Sea ◽  
Legacy Data

Many vintage reflection seismic surveys exist that have nonrepeated acquisition geometries or final-stacked/migrated sections are obtained using different or nonconsistent processing flows. This may lead to derived time-lapse attributes that are not internally consistent or even conflicting. For instance, we have focused on a subsurface gas blowout that occurred in 1989 in the Norwegian sector of the North Sea. The 2D site survey data were acquired in 1988 and 1990, and the 3D data were acquired in 1991 and 2005. The various sets of legacy data are plagued by poor repeatability among data acquisitions, application of different processing strategies, missing prestack data, and the presence of multiples. All of these factors severely complicate even qualitative interpretation of the gas migration associated with the underground blowout. Careful time-lapse processing may provide useful information even from such challenging legacy data by first computing numerous attributes including instantaneous amplitude differences, time shifts, time-lapse attenuation, and impedance inversions. Then, judicious quality control, invoked by comparing the various attributes, was used to check for internally consistent results.

Data Driven Gas Well Performance Model Hands Back Control to Engineers

2021 ◽  
Author(s):  
Cornelis Veeken
Keyword(s):  
Real Time ◽  
Performance Model ◽  
Data Driven ◽  
Production Data ◽  
Performance Parameters ◽  
Well Performance ◽  
Gas Well ◽  
Reservoir Performance ◽  
Fit For Purpose ◽  
Over Time

Abstract This paper presents a fit-for-purpose gas well performance model that utilizes a minimum set of inflow and outflow performance parameters, and demonstrates the use of this model to describe real-time well performance, to compare well performance over time and between wells, and to generate production forecasts in support of well interventions. The inflow and outflow parameters are directly related to well-known reservoir and well properties, and can be calibrated against common well surveillance and production data. By adopting this approach, engineers develop a better appreciation of the magnitude and uncertainty of gas well and reservoir performance parameters.

scholarly journals Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System

2019 ◽  
Vol 11 (16) ◽  
pp. 1890 ◽  
Author(s):  
Ryan Kromer ◽  
Gabe Walton ◽  
Brian Gray ◽  
Matt Lato ◽  
Robert Group
Keyword(s):  
Rock Slope ◽  
Point Clouds ◽  
Time Lapse ◽  
Ground Control ◽  
Camera System ◽  
Ground Control Points ◽  
Geological Processes ◽  
Wide Range ◽  
Fit For Purpose ◽  
A Site

An automated, fixed-location, time lapse camera system was developed as an alternative to monitoring geological processes with lidar or ground-based interferometric synthetic-aperture radar (GB-InSAR). The camera system was designed to detect fragmental rockfalls and pre-failure deformation at rock slopes. It was implemented at a site along interstate I70 near Idaho Springs, Colorado. The camera system consists of five digital single-lens reflex (DSLR) cameras which collect photographs of the rock slope daily and automatically upload them to a server for processing. Structure from motion (SfM) photogrammetry workflows were optimized to be used without ground control. An automated change detection pipeline registers the point clouds with scale adjustment and filters vegetation. The results show that if a fixed pre-calibration of internal camera parameters is used, an accuracy close to that obtained using ground control points can be achieved. Over the study period between March 19, 2018 and June 24, 2019, a level of detection between 0.02 to 0.03 m was consistently achieved, and over 50 rockfalls between 0.003 to 0.1 m3 were detected at the study site. The design of the system is fit for purpose in terms of its ground resolution size and accuracy and can be adapted to monitor a wide range of geological and geomorphic processes at a variety of time scales.

scholarly journals Development of Novel, Value-Based, Digital Endpoints for Clinical Trials: A Structured Approach Toward Fit-for-Purpose Validation

2020 ◽  
Vol 72 (4) ◽  
pp. 899-909 ◽  
Author(s):  
M. D. Kruizinga ◽  
F. E. Stuurman ◽  
V. Exadaktylos ◽  
R. J. Doll ◽  
D. T. Stephenson ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Fit For Purpose ◽  
Structured Approach

An operational and scientific monitoring program (OSMP) for the Prelude and Ichthys fields: a case study from the Browse Basin

2014 ◽  
Vol 54 (2) ◽  
pp. 480
Author(s):  
David Souter ◽  
Steve Rogers ◽  
Jamie Oliver
Keyword(s):  
Oil Spill ◽  
Monitoring Program ◽  
Baseline Data ◽  
Australian Institute ◽  
Monitoring Programs ◽  
Oil Spill Response ◽  
Fit For Purpose ◽  
Gas Fields ◽  
Structured Approach

An OSMP is the principle tool for determining the extent, severity, and persistence of environmental impacts from an oil spill. The OSMP developed for the Shell Prelude and Inpex Ichthys gas fields has 13 operational monitoring programs (OMPs) and 12 scientific monitoring programs (SMPs) reflecting the complexity of the environment in which the developments are located. A partnership of organisations led by the Australian Institute of Marine Science (AIMS) will provide specialist expertise to help implement the OSMP. This unique multi-disciplinary partnership, comprising AIMS, CSIRO, University of Western Australia, Curtin University, WA ChemCentre, and Monash University, guarantees capability and capacity, reducing the level of risk incurred by individual organisations within the partnership. Fundamental to the success of any OSMP is the existence of adequate, fit-for-purpose baseline data against which post spill observations can be compared to determine the extent and severity of the spill and assess effectiveness of oil spill response. In addition, we believe adequate baselines with sufficient temporal resolution are essential for OSMP credibility and maintenance of the scientific reputations of partners. In committing capability to the OSMP implementation, AIMS and its partners have adopted a risk-based approach to assessing the adequacy of existing baseline data, to identify knowledge gaps, and assess the significance of those gaps and the feasibility of filling them. This extended abstract describes the structured approach taken to analyse the various risks and to develop a balanced suite of environmental baseline studies to address these risks.

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