Optimization of HPHT Stimulation Treatments in Offshore Multistage Completions, Krishna Godavari Basin, India

2021 ◽  
Author(s):  
Jonathan Alcantar ◽  
Akash Damani ◽  
Wadood El-Rabaa ◽  
Kishore Kumar Medavarapu ◽  
Govindraj P

Abstract This paper presents an analysis of the stimulation treatment design and the optimization of the stimulation treatments in the challenging ultra-HPHT environment (400°F and 15000psi) of the Krishna-Godavari (KG) basin, East Coast, India. In greater detail, the paper focuses on how the perforation placement and the stimulation treatment design have been optimized for each zone of a multi-zone treatment program in a deviated well to address the specific challenges (geological, completion, operational and logistical) associated with the environment. An in-depth analysis was performed on the stimulation design prior to mobilization of stimulation equipment and crew. The treatments were designed by utilizing as inputs tailored petrophysical and geomechanical models, well design data, stimulation material properties and equipment capacities, and analysis of prior stimulation experience in this area. Extensive sensitivity analysis was carried out to come up with the optimum perforation depths and stimulation treatment. Subsequently, when on location, the treatment design was fine-tuned using real-time data to optimally place the fracture. The overall goal was to determine the best stimulation treatment for the offshore well without inducing negatively impacting either the reservoir production or ultimate recovery. From adherence to fundamentals of well and frac design to completion optimization, major efforts were made in the treatment optimization for each zone based on the challenges associated with the KG basin. These challenges, in no particular order, include high temperature and high pressure, proximity to water zones and the necessity to isolate treatment stages using unconventional methods, presence of high fluid loss zones, and logistical/space constraints inherent from the offshore location. Stimulation treatments implemented in this field in the past were analyzed to better understand the pros and cons of the various stimulation techniques and practices that were employed. A key learning from this exercise was that the stimulation fluid selection is of utmost importance. With a BHST of 400°F, stimulation fluids that can provide adequate stability under these conditions are limited. This led to an increased focus on the engineering design of stimulation treatments in the pre-planning phase, which was then optimized as real-time data was acquired. Wellbore re-entry issues led to further re-evaluation and redesign of the perforation strategy. Improvements in treatment sizing were made during the stimulation as water zones needed to be avoided or stress conditions needed to be corrected from early design conditions assumed. Furthermore, upon completion of each stimulation stage, proper and unconventional isolation methods were needed from earlier stimulation due to tubular limitations. Post-frac evaluation using hydraulic fracture pressure match indicated that 3 out of the 5 zones were stimulated with highly conductive and long fractures, while minimal size treatments were placed in 2 troublesome zones. Also, treating a high-risk water zone was avoided. In conclusion, the authors believe that the stimulation program was optimally designed and conducted in an area with limited success in years past by using sound engineering in all the phases of the design and implementation.

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER

2021 ◽  
Vol 31 (6) ◽  
pp. 7-7
Author(s):  
Valerie A. Canady
Keyword(s):  

Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.


J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


Sign in / Sign up

Export Citation Format

Share Document