Annual Work Plan Execution Performance Using an Automated Production Forecast Tool

2021 ◽  
Author(s):  
Gustavo Nuñez ◽  
Camilo Tellez ◽  
Fabian Florez ◽  
Johanna Gallegos ◽  
Francisco Eremiev ◽  
...  
Keyword(s):  
Production Management ◽  
Planning Process ◽  
Analysis Tool ◽  
Well Performance ◽  
Production Forecast ◽  
Full Field ◽  
Type Curves ◽  
Execution Plan ◽  
Work Plan ◽  
The Impact

Abstract Shaya Consortium ramped up its production from 60 KBOPD to almost 85 KBOPD as a result of an agile execution of its Field Development Plan, made of infill drilling, workover interventions, and full-field expansion of waterflooding. This combined activity made the planning process very complex and dynamic due to the high volume of operations and scenario evaluation. Additionally, the consortium was requested to provide a weekly production forecast to its major stakeholders highlighting all deviations from the original execution plan and remedial activities to come back on track. The proposed application tool has simplified and automated the forecasting processes using short-term updates of the executed activities from field reports, current well status, planned workover interventions, and new wells drilling schedule. Any deviation of the Annual Work Plan due to schedule variance or well performance is automatically adjusted by the tool, creating a new forecast to End-Of-Year or Quarter even Weekly, thus, reflecting the impact on the estimated recoverable volumes. The tool pulls information from different sources and consolidates them in a single unified environment, not only for forecasting but also as a visualization and analysis tool. Furthermore, it has several modules to facilitate the control of official type curves, scenario profiles for the Annual Work Plan, and it is fully linked to key corporate applications. This paper presents the development of a production forecasting tool that introduced a new way of working within the Shaya Production Team by improving activity scheduling and overcome underperforming new wells, keeping the operations team informed to facilitate the production management.

PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP LOYALITAS NASABAH PT BANK MANDIRI,Tbk CABANG JAKARTA KELAPA GADING BARAT

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Homogeneous Population ◽  
Independent Variables ◽  
Research Population ◽  
The Impact

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.

scholarly journals Full-Field Operational Modal Analysis of an Aircraft Composite Panel from the Dynamic Response in Multi-Impact Test

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1602
Author(s):  
Ángel Molina-Viedma ◽  
Elías López-Alba ◽  
Luis Felipe-Sesé ◽  
Francisco Díaz
Keyword(s):  
Modal Analysis ◽  
Energy Absorption ◽  
High Speed ◽  
Operational Modal Analysis ◽  
Modal Identification ◽  
Image Correlation ◽  
Composite Panel ◽  
Impact Excitation ◽  
Full Field ◽  
The Impact

Experimental characterization and validation of skin components in aircraft entails multiple evaluations (structural, aerodynamic, acoustic, etc.) and expensive campaigns. They require different rigs and equipment to perform the necessary tests. Two of the main dynamic characterizations include the energy absorption under impact forcing and the identification of modal parameters through the vibration response under any broadband excitation, which also includes impacts. This work exploits the response of a stiffened aircraft composite panel submitted to a multi-impact excitation, which is intended for impact and energy absorption analysis. Based on the high stiffness of composite materials, the study worked under the assumption that the global response to the multi-impact excitation is linear with small strains, neglecting the nonlinear behavior produced by local damage generation. Then, modal identification could be performed. The vibration after the impact was measured by high-speed 3D digital image correlation and employed for full-field operational modal analysis. Multiple modes were characterized in a wide spectrum, exploiting the advantages of the full-field noninvasive techniques. These results described a consistent modal behavior of the panel along with good indicators of mode separation given by the auto modal assurance criterion (Auto-MAC). Hence, it illustrates the possibility of performing these dynamic characterizations in a single test, offering additional information while reducing time and investment during the validation of these structures.

Optimizing Outcomes in Neck Lift Surgery

2021 ◽  
Author(s):  
Thomas Gerald O’Daniel
Keyword(s):  
Surgical Planning ◽  
Planning Process ◽  
Objective Evaluation ◽  
Volumetric Analysis ◽  
Anterior Neck ◽  
Surgical Specimen ◽  
Neck Lift ◽  
Fat Reduction ◽  
The Mean ◽  
The Impact

Abstract Background In certain patients there is an imbalance between the volume of the anterior neck and the mandibular confines that require reductional sculpting and repositioning of the hyoid to optimize neck lifting procedures. Objectives A quantitative volumetric analysis of impact of the management of supraplatysmal and subplatysmal structures of the neck by comparing surgical specimen was performed to determine the impact of reduction on cervical contouring. Methods In 152 patients undergoing deep cervicoplasty, the frequency of modification of each surgical maneuver and amount of supraplatysmal and subplatysmal volume removed was measured in cubic centimeters using a volume displacement technique. Results The mean volume of total volume remove from the supraplatysmal and subplatysmal planes during deep cervicoplasty was 22.3 cm3 with subplatysmal volume representing 73%. Subplatysmal volume was reduced in 152 patients. Deep fat was reduced in 96% of patients with mean volume of 7 cm3, submandibular glands (76%) with mean volume 6.5cm, anterior digastric muscles (70%) with mean volume 2cm3, peri-hyoid fascia (32%) with mean volume <1cm3 and mylohyoid reduction (14%) with mean volume < 1cm3 in the series. The anterior digastric muscles were plicated to reposition the hyoid in 34% of cases. Supraplatysmal fat reduction was 6.3 cm3 in 40% of patients. Conclusions The study provides a comprehensive analysis of the impact of volume modification of the central neck during deep cervicoplasty. This objective evaluation of neck volume may help guide clinicians in the surgical planning process and provide a foundation for optimizing cervicofacial rejuvenation techniques.

Deciphering the rising attractiveness of Asian countries as destinations for Vietnamese students seeking international education: The effect of desire for studying abroad on Vietnamese students' career planning and decision-making processes in Taiwan

2021 ◽  
Author(s):  
Kuo Chen
Keyword(s):  
Decision Making ◽  
Study Abroad ◽  
International Education ◽  
Qualitative Methodology ◽  
Planning Process ◽  
Career Planning ◽  
Asian Countries ◽  
Studying Abroad ◽  
Planning Factor ◽  
The Impact

Nowadays, Vietnamese students choose to study abroad in Asian countries, with Taiwan being one of the most appealing locations so far. The purpose of this research is to explain the planning process used by Vietnamese students to study abroad (the host country is Taiwan), as well as to suggest an appropriate model for students' decision-making once the desire to study abroad is established, in which the impact of career path on school selection is clarified and the importance of motivation to study abroad is emphasized.This research used a mixed-methods approach. In-depth interviews with 30 Vietnamese students studying in Taiwan are conducted using a qualitative methodology. The data gathered during those interviews is utilized to build questionnaires that will be sent to over 300 samples for quantitative study.The research findings demonstrate the primary elements influencing students' desire to study abroad, career planning, and decision-making in Taiwan, as well as the model of students' decision-making process. It is obvious that students' desire to study abroad has a direct effect on their career-planning factor, while this factor acts as a mediator between the aforementioned motivation and the students' decision-making factor.

Data-Driven Causal Analyses of Parent-Child Well Interactions for Well Spacing Decisions

2021 ◽  
Author(s):  
Rohan Sakhardande ◽  
Deepak Devegowda
Keyword(s):  
Causal Inference ◽  
Randomized Clinical Trials ◽  
Drug Efficacy ◽  
Complex Problem ◽  
Petroleum Engineering ◽  
Well Performance ◽  
Well Spacing ◽  
The Impact ◽  
Naive Approach ◽  
Parent Child

Abstract The analyses of parent-child well performance is a complex problem depending on the interplay between timing, completion design, formation properties, direct frac-hits and well spacing. Assessing the impact of well spacing on parent or child well performance is therefore challenging. A naïve approach that is purely observational does not control for completion design or formation properties and can compromise well spacing decisions and economics and perhaps, lead to non-intuitive results. By using concepts from causal inference in randomized clinical trials, we quantify the impact of well spacing decisions on parent and child well performance. The fundamental concept behind causal inference is that causality facilitates prediction; but being able to predict does not imply causality because of association between the variables. In this study, we work with a large dataset of over 3000 wells in a large oil-bearing province in Texas. The dataset includes several covariates such as completion design (proppant/fluid volumes, frac-stages, lateral length, cluster spacing, clusters/stage and others) and formation properties (mechanical and petrophysical properties) as well as downhole location. We evaluate the impact of well spacing on 6-month and 1-year cumulative oil in four groups associated with different ranges of parent-child spacing. By assessing the statistical balance between the covariates for both parent and child well groups (controlling for completion and formation properties), we estimate the causal impact of well spacing on parent and child well performance. We compare our analyses with the routine naïve approach that gives non-intuitive results. In each of the four groups associated with different ranges of parent-child well spacing, the causal workflow quantifies the production loss associated with the parent and child well. This degradation in performance is seen to decrease with increasing well spacing and we provide an optimal well spacing value for this specific multi-bench unconventional play that has been validated in the field. The naïve analyses based on simply assessing association or correlation, on the contrary, shows increasing child well degradation for increasing well spacing, which is simply not supported by the data. The routinely applied correlative analyses between the outcome (cumulative oil) and predictors (well spacing) fails simply because it does not control for variations in completion design over the years, nor does it account for variations in the formation properties. To our knowledge, there is no other paper in petroleum engineering literature that speaks of causal inference. This is a fundamental precept in medicine to assess drug efficacy by controlling for age, sex, habits and other covariates. The same workflow can easily be generalized to assess well spacing decisions and parent-child well performance across multi-generational completion designs and spatially variant formation properties.

Integrated Production Model as a Tool for Optimization the Development Strategy of the Sakhalin Oil and Gas Condensate Field

2021 ◽  
Author(s):  
Oleksandr Doroshenko ◽  
Miljenko Cimic ◽  
Nicholas Singh ◽  
Yevhen Machuzhak
Keyword(s):  
History Matching ◽  
Effective Field ◽  
Production Optimization ◽  
Production Model ◽  
Production Forecast ◽  
Hydrocarbon Production ◽  
Integrated Production ◽  
Wellhead Pressure ◽  
Field Development ◽  
The Impact

Abstract A fully integrated production model (IPM) has been implemented in the Sakhalin field to optimize hydrocarbons production and carried out effective field development. To achieve our goal in optimizing production, a strategy has been accurately executed to align the surface facilities upgrade with the production forecast. The main challenges to achieving the goal, that we have faced were:All facilities were designed for early production stage in late 1980's, and as the asset outdated the pipeline sizes, routing and compression strategies needs review.Detecting, predicting and reducing liquid loading is required so that the operator can proactively control the hydrocarbon production process.No integrated asset model exists to date. The most significant engineering tasks were solved by creating models of reservoirs, wells and surface network facility, and after history matching and connecting all the elements of the model into a single environment, it has been used for the different production forecast scenarios, taking into account the impact of infrastructure bottlenecks on production of each well. This paper describes in detail methodology applied to calculate optimal well control, wellhead pressure, pressure at the inlet of the booster compressor, as well as for improving surface flowlines capacity. Using the model, we determined the compressor capacity required for the next more than ten years and assessed the impact of pipeline upgrades on oil gas and condensate production. Using optimization algorithms, a realistic scenario was set and used as a basis for maximizing hydrocarbon production. Integrated production model (IPM) and production optimization provided to us several development scenarios to achieve target production at the lowest cost by eliminating infrastructure constraints.

GEMPROT: visualization of the impact on the protein of the genetic variants found on each haplotype

2018 ◽  
Vol 35 (14) ◽  
pp. 2492-2494
Author(s):  
Tania Cuppens ◽  
Thomas E Ludwig ◽  
Pascal Trouvé ◽  
Emmanuelle Genin
Keyword(s):  
Genetic Variants ◽  
Protein Sequence ◽  
Sequence Data ◽  
Protein Sequences ◽  
Supplementary Information ◽  
Analysis Tool ◽  
Functional Protein ◽  
Key Players ◽  
On Line ◽  
The Impact

Abstract Summary When analyzing sequence data, genetic variants are considered one by one, taking no account of whether or not they are found in the same individual. However, variant combinations might be key players in some diseases as variants that are neutral on their own can become deleterious when associated together. GEMPROT is a new analysis tool that allows, from a phased vcf file, to visualize the consequences of the genetic variants on the protein. At the level of an individual, the program shows the variants on each of the two protein sequences and the Pfam functional protein domains. When data on several individuals are available, GEMPROT lists the haplotypes found in the sample and can compare the haplotype distributions between different sub-groups of individuals. By offering a global visualization of the gene with the genetic variants present, GEMPROT makes it possible to better understand the impact of combinations of genetic variants on the protein sequence. Availability and implementation GEMPROT is freely available at https://github.com/TaniaCuppens/GEMPROT. An on-line version is also available at http://med-laennec.univ-brest.fr/GEMPROT/. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals THE IMPACT OF TEACHER COMPETENCE, SCHOOL ENVIRONMENT AND SPIRITUAL ACTIVITIES ON THE LEARNING ACHIEVEMENT OF STUDENTS OF SMP BATIK SURAKARTA

2020 ◽  
Vol 4 (02) ◽  
Author(s):  
Nurul Hidayati ◽  
Bambang Mursito
Keyword(s):  
Student Achievement ◽  
Junior High School ◽  
School Environment ◽  
Total Population ◽  
Research Result ◽  
Analysis Tool ◽  
Teacher Competence ◽  
Optimal Learning ◽  
Learning Achievement ◽  
The Impact

The problems presented relate to teacher competence, school environment and Spiritual Activities affect student achievement at SMP Batik Surakarta. This research method using research design is a survey research. This research was conducted at SMP Batik Surakarta in February 2020 - July 2020. The research reason was that learning achievement needs to be improved so that SMP Batik Surakarta students are able to obtain optimal learning achievement. The object of this study of Surakarta SMP Batik Surakarta, then of this research the population is totaling 303 students. The total population was 262 students from the total population, so in this study of C class is 33 students. The analysis tool used is regression research, t test, F test and R2 test. research result showed: there is influence of teacher competence, school environment and spiritual activities on the student achievement of Students in Surakarta Batik Junior High School partially and simultaneously Keywords: Teacher Competence, School Environment, Spiritual Activities and Student Achievement

scholarly journals The Effectiveness of Using Blended Learning with Google Classroom and Zoom Media on Students' Understanding

2021 ◽  
Vol 2 (2) ◽  
pp. 99
Author(s):  
Wasti Reviandani
Keyword(s):  
Blended Learning ◽  
Learning Process ◽  
Quantitative Research ◽  
Teaching And Learning ◽  
Virus Disease ◽  
Direct Interaction ◽  
Analysis Tool ◽  
Teaching Activities ◽  
Corona Virus ◽  
The Impact

The teaching and learning process is the core of education. Everything that has been programmed will be carried out in the teaching and learning process where interaction and involvement is needed between educators and students with materials as the medium. Teaching activities at the strata 1 level involve educators called lecturers and students called students. In general, teaching activities are carried out offline, which involves direct interaction between lecturers and students. At the beginning of 2021, rumors began to appear that there was a global disaster of the Corona Virus Disease (COVID-19) pandemic, which initially Indonesia considered that the Corona virus was impossible to enter Indonesia. However, the development of the virus is so fast. Indonesia finally announced in early March 2021 as a country experiencing the impact of the global disaster due to the COVID -19 pandemic. This study wants to find out how effective it is to use blended learning by using google classroom and zoom to improve the understanding of FEB students at Muhammadiyah University of Gresik. This research is a quantitative research using causal clause relationship, using SPSS version 23.0 analysis tool. The results obtained from this study are that the Google Classroom and Zoom applications partially and simultaneously have a significant positive effect on student understanding.

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