Infill Well Completion Technologies Mitigate Well Interference and Optimize Production on Multiwell Pad

2021 ◽  
Author(s):  
Foluke Ajisafe ◽  
Mark Reid ◽  
Hank Porter ◽  
Lydia George ◽  
Rhonna Wu ◽  
...  

Abstract Increased drilling of infill wells in the Bakken has led to growing concern over the effects of frac or fracture hits between parent and infill wells. Fracture hits can cause decreased production in a parent well, as well as other negative effects such as wellbore sanding, casing damage, and reduced production performance from the infill well. An operator had an objective to maximize production of infill wells and decrease the frequency and severity of frac hits to parent wells. The goal was to maintain production of the parent wells and avoid sanding, which had the potential to cause cleanouts. Infill well completion technologies were successfully implemented on multiwell pads in Mountrail County, Williston basin, to minimize parent-child well interference or negative frac hits on parent wells for optimized production. Four infill (child) wells were landed in the Three Forks formation directly below a group of six parent wells landed in the Middle Bakken. The infill well completion technologies used in this project to mitigate frac hits included far-field diverter, near-wellbore diverter, and real-time pressure monitoring. The far-field diverter design includes a blend of multimodal particles to bridge the fracture tip, preventing excessive fracture length and height growth. The near-wellbore diverter consists of a proprietary blend of degradable particles with a tetra modal size distribution and fibers used to achieve sequential stimulation of perforated clusters to maximize wellbore coverage. Hydraulic fracture modeling with a unique advanced particle transport model was used to predict the impact of the far-field diverter design on fracture geometry. Real-time pressure monitoring allowed acquisition of parent well pressure data to identify pressure communication or lack of communication and implement mitigation and contingency procedures as necessary. Real-time pressure monitoring was also used to optimize and validate the far-field diversion design during the job execution. The parent well monitored was 800 ft away from the closest infill well and at high risk for frac hits due to both the proximity to the infill well and depletion. In the early stages of the infill well stimulation, an increase in pressure up to 600 psi was observed in the parent well. The far-field diverter design was modified to combat the observed frac hit, after which a noticeable drop in both frequency and magnitude of frac hits was observed on the parent well. This is the first time the far-field diverter design optimization process was done in real time. After the infill wells stimulation treatment, production results showed a positive uplift in oil production for all parent wells at an average of 118%. Also, only two out of seven parent wells required a full cleanout, resulting in savings in well cleanup costs. Infill well production data was compared with the closest parent well landed in the same formation (Three Forks). At about a year, the best infill well production was only 10% less than the parent well with similar completion design and the average infill well production approximately 18% less than the parent well. Considering the depletion surrounding the infill wells, production performance exceeded expectations.

2018 ◽  
Author(s):  
Dennar Linda ◽  
Nanpan Monday ◽  
Aderibigbe Olatubosun ◽  
Emelle Chima ◽  
Ekerendu Onyinyechi ◽  
...  

2007 ◽  
Vol 27 (5-8) ◽  
pp. 1406-1410 ◽  
Author(s):  
K. Arshak ◽  
D. Morris ◽  
A. Arshak ◽  
O. Korostynska ◽  
K. Kaneswaran

Lab on a Chip ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 3954-3961 ◽  
Author(s):  
Jang Han Choi ◽  
Tae Soup Shim

Real-time, in situ internal pressure monitoring in a microchannel is realized by a deformable colloidal crystal membrane.


2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S28-S28
Author(s):  
Leen El Eter ◽  
Pooja S Yesantharao ◽  
Vidhi Javia ◽  
Emily h Werthman ◽  
Carrie A Cox ◽  
...  

Abstract Introduction Real-time pressure mapping devices may help prevent hospital-acquired pressure injury (HAPI) in Burn ICU (BICU) patients who are at a high baseline risk for HAPIs. While prior studies have demonstrated the utility of pressure monitoring devices in preventing pressure injuries, there has been little investigation into using pressure mapping data to better understand HAPI development, and to determine specific predictors of HAPIs. Such data could help risk stratify patients upon admission to the BICU and result in improved patient care as well as cost savings. This study retrospectively investigated the utility of pressure mapping data in predicting/preventing pressure injury among BICU patients, and estimated HAPI-related cost savings associated with the implementation of pressure monitoring. Methods This was a retrospective chart review of real-time pressure mapping in the BICU. Incidence of HAPIs and costs of HAPI-related care were determined through clinical record review, before and after implementation of pressure mapping. Multivariable-adjusted logistic regression was used to determine predictors of HAPIs, in the context of pressure mapping recordings. Results In total, 122 burn ICU patients met inclusion criteria during the study period, of whom 57 (47%) were studied prior to implementation of pressure mapping, and 65 (53%) were studied after implementation. The HAPI rate was 18% prior to implementation of pressure monitoring, which declined to 8% after implementation (chi square: p=0.10). HAPIs were more likely to be less severe in the post-implementation cohort (p< 0.0001). Upon multivariable-adjusted regression accounting for known predictors of HAPIs in burn patients (BMI, length of stay, co-morbidities, age, total body surface area burned, mobility), having had at least 12 hours of sustained pressure loading in one area significantly increased odds of developing a pressure injury in that area (odds ratio 1.3, 95%CI 1.0–1.5, p=0.04). When comparing patients who developed HAPIs to those who did not, pressure mapping demonstrated that patients who developed HAPIs were significantly more likely to have had unsuccessful repositioning efforts prior to HAPI development, defined as persistent high pressure in the at-risk area (60% versus 17%, respectively; p=0.02). Finally, implementation of pressure mapping resulted in significant cost savings ($2,063 prior to implementation, versus $1,082 after implementation, p=0.008). Conclusions The use of real-time pressure mapping decreased incidence of HAPIs in the burn ICU patients and resulted in significant cost savings.


2021 ◽  
Author(s):  
Magdy Farouk Fathalla ◽  
Mariam Ahmed Al Hosani ◽  
Ihab Nabil Mohamed ◽  
Ahmed Mohamed Al Bairaq ◽  
Djamal Kherroubi ◽  
...  

Abstract An onshore gas field contains several gas wells which have low–intermittent production rates. The poor production has been attributed to liquid loading issue in the wellbore. This study will investigate the impact of optimizing the tubing and liner completion design to improve the gas production rates from the wells. Numerous sensitivity runs are carried out with varying tubing and liner dimensions, to identity optimal downhole completions design. The study begins by identifying weak wells having severe gas production problems. Once the weak wells have been identified, wellbore schematics for those wells are studied. Simulation runs are performed with the current downhole completion design and this will be used as the base case. Several completion designs are considered to minimize the effect of liquid loading in the wells; these include reducing the tubing diameter but keeping the existing liner diameter the same, keeping the original tubing diameter the same but only reducing the liner diameter, extending the tubing to the Total Depth (TD) while keeping the original tubing diameter, and extending a reduced diameter tubing string to the TD. The primary cause of the liquid loading seems to be the reduced velocity of the incoming gas from the reservoir as it flows through the wellbore. A simulation study was performed using the various completion designs to optimize the well completion and achieve higher gas velocities in the weak wells. The results of the study showed significant improvement in gas production rates when the tubing diameter and liner diameter were reduced, providing further evidence that increased velocity of the incoming fluids due to restricted flow led to less liquid loading. The paper demonstrates the impact of downhole completion design on the productivity of the gas wells. The study shows that revisiting the existing completion designs and optimizing them using commercial simulators can lead to significant improvement in well production rates. It is also noted that restricting the flow near the sand face increases the velocity of the incoming fluid and reduces liquid loading in the wells.


2021 ◽  
Author(s):  
Sohrat Baki ◽  
Cenk Temizel ◽  
Serkan Dursun

Abstract Unconventional reservoirs, mainly shale oil and natural gas, will continue to significantly help meet the ever-growing energy demands of global markets. Being complex in nature and having ultra-tight producing zones, unconventionals depends on effective well completion and stimulation treatments in order to be successful and economical. Within the last decade, thousands of unconventional wells have been drilled, completed and produced in North America. The scope of this work is exploring the primary impact of completion parameters such as lateral length, frac type, number of stages, proppant and fluid volume effect on the production performance of the wells in unconventional fields. The key attributes in completion, stimulation, and production for the wells were considered in machine learning workflow for building predictive models. Predictive models based on Neural Networks, Support Vector Machines or Decision Tree Based ensemble models, serves as mapping function from completion parameters to production in each well in the field. The completion parameters were analyzed in the workflow with respect to feature engineering and interpretation. This analysis resulted in key performance indicators for the region. Then the optimum values for the best production performing completions were identified for each well. Predictive models in the workflow were analyzed in accuracy and best model is used to understand the impact of completion parameters on the production rates. This study outlines an overall machine learning workflow, from feature engineering to interpretation of the machine learning models to quantify the effects of completion parameters on the production rate of the wells in unconventional fields


Author(s):  
Qing Chang ◽  
Stephan Biller ◽  
Guoxian Xiao

In manufacturing industry, downtimes have been considered as major impact factors of production performance. However, the real impacts of downtime events and relationships between downtimes and system performance and bottlenecks are not as trivial as it appears. To improve the system performance in real-time and to properly allocate limited resources/efforts to different stations, it is necessary to quantify the impact of each station downtime event on the production throughput of the whole transfer line. A complete characterization of the impact requires a careful investigation of the transients of the line dynamics disturbed by the downtime event. We study in this paper the impact of downtime events on the performance of inhomogeneous serial transfer lines. Our mathematical analysis suggests that the impact of any isolated downtime event is only apparent in the relatively long run when the duration exceeds a certain threshold called opportunity window. We also study the bottleneck phenomenon and its relationship with downtimes and opportunity window. The results are applicable to real-time production control, opportunistic maintenance scheduling, personnel staffing, and downtime cost estimation.


2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Youwei He ◽  
Shiqing Cheng ◽  
Zhe Sun ◽  
Zhi Chai ◽  
Zhenhua Rui

Abstract Well production rates decline quickly in the tight reservoirs, and enhanced oil recovery (EOR) is needed to increase productivity. Conventional flooding from adjacent wells is inefficient in the tight formations, and Huff-n-Puff also fails to achieve the expected productivity. This paper investigates the feasibility of the inter-fracture injection and production (IFIP) method to increase oil production rates of horizontal wells. Three multi-fractured horizontal wells (MFHWs) are included in a cluster well. The fractures with even and odd indexes are assigned to be injection fractures (IFs) and recovery fractures (RFs). The injection/production schedule includes synchronous inter-fracture injection and production (s-IFIP) and asynchronous inter-fracture injection and production (a-IFIP). The production performances of three MFHWs are compared by using four different recovery approaches based on numerical simulation. Although the number of RFs is reduced by about 50% for s-IFIP and a-IFIP, they achieve much higher oil rates than depletion and CO2 Huff-n-Puff. The sensitivity analysis is performed to investigate the impact of parameters on IFIP. The spacing between IFs and RFs, CO2 injection rates, and connectivity of fracture networks affect oil production significantly, followed by the length of RFs, well spacing among MFHWs, and the length of IFs. The suggested well completion scheme for the IFIP methods is presented. This work discusses the ability of the IFIP method in enhancing the oil production of MFHWs.


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