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This paper seeks to review the reasons for which Saddam's regime intended to destroy and eliminate Kuwait's entire oil infrastructure before and after the Iraqi invasion of Kuwait. The underestimation of oil wells that would be torched by Iraqi forces is also discussed in this paper.

To approach the scope of this paper, the intentions and the practical evidence of such sabotage are pointed out. Efforts to rescue Kuwait's oil wells in addition to planning for the expected catastrophe are highlighted. The plausible reasons that made such underestimation unclear are elaborated.

The instructions included in the Iraqi documents showed undoubtedly that the sabotage operation was not a random last‐minute attempt to destroy the oil wells, but it was a carefully supervised and well planned endeavor to completely destroy Kuwait's oil infrastructure. Owing to those efforts and planning, more than 100 oil wells were rescued throughout Kuwait. Due to such underestimation Kuwait suffered severe losses both to its oil industry and to its ecological system.

Since the reasons for the lower estimates of oil wells, torched by Iraqi troops, to a maximum of 100‐150 wells were unclear, this paper attributes Kuwait's economic losses and environmental degradation to such underestimation and suggests more investigations on this issue.

Kuwait's catastrophe brought the attention to environmental concerns that should receive immediate consideration, while the scorched‐earth tactic applied in Kuwait and the resulting environmental disaster led to a positive reaction by the international community and spawned a new environmental treaty at the regional level.

This is the first paper that addresses the underestimation of Kuwait's oil disaster. The conflagration in Kuwait demonstrated the danger in conducting large‐scale modern combat in an environmentally fragile area, and shows how exposed all oil‐producing nations are to this type of environmental and economic disaster in the future.

Multi-well hydrofracturing is an important technology to create new fractures and expand existing fractures to increase reservoir permeability. The propagation morphology of the fracture network is affected by the disturbance between the fractures initiation sequences and spacings between adjacent wells. However, it remains unclear how well spacing and initiation sequences lead to fracture propagation, deflection and connection.

In this study, the thermal-hydro-mechanical coupling effect in the hydrofracturing process was considered, to establish a finite element-discrete element model of multistage hydrofracturing in a horizontal well. Using typical cases, the unstable propagation of hydraulic fractures in multiple horizontal wells was investigated under varying well spacing and initiation sequences. Combined with the shear stress shadow caused by in situ stress disturbed by fracture tip propagation, the quantitative indexes of fracture propagation such as length, volume, displacement vector, deflection and unstable propagation behavior of the hydrofracturing fracture network were analyzed.

The results show that the shear stress disturbance caused by multiple hydraulic fractures is a significant factor in multi-well hydrofracturing. Reducing the spacing between multiple wells increases the stress shadow area and aggravates the mutual disturbance and deflection between the fractures. The quantitative analysis results show that a decrease of well spacing reduces the total length of hydraulic fractures but increases the total volume of the fracture; compared with sequential and simultaneous fracturing, alternate fracturing can effectively reduce stress shadow area, alleviate fracture disturbance and generate larger fracture propagation length and volume.

The numerical models and results of the unstable propagation and stress evolution of the hydraulic fracture network under thermal-hydro-mechanical coupling obtained in this study can provide useful guidance for the evaluation and design of rock mass fracture networks in deep unconventional oil and gas reservoirs.

This case investigation used firsthand statements, reports, testimony and regulatory records. While widely publicized in the popular press, this case is based on primary documents. On their website, many documents were obtained from Wells Fargo’s Corporate newsroom, such as the internal audit report shared with shareholders and press releases. Most other sources were from US regulatory websites (.gov) or congressional testimony. In a few places, quotes and comments came from reliable journalistic sites that cite their sources and follow a journalist’s code of ethics and conduct, ensuring that the reported remarks and data were verified.

Since 2016, Wells Fargo Bank has faced multiple customer mistreatment investigations and resultant fines. Public outcry and distrust resulted from Wells Fargo employees creating hidden accounts and enrolling people in bank services without their knowledge to meet desired levels of sustained shareholder growth. Over the past five years, Wells Fargo has been fined and returned to customers and stockholders over $3bn. Wells Fargo executives spent the first year of the scandal citing improper behavior by employees. Leadership did not take responsibility for setting the organizational goals, which led to employee misbehavior. Even after admitting some culpability in creating the extreme sales culture, executives and the Board of Directors tried to distance themselves from blame for the unethical behavior. They cited the organizations’ decentralized structure as a reason the board was not quicker in seeing and correcting the negative behaviors of these ‘bad apple’ employees. Wells Fargo faced multiple concurrent scandals, such as upselling services to retirees, inappropriately repossessing service members’ vehicles, adding insurance and extra fees to mortgages and other accounts and engaging in securities fraud. As time has passed, the early versions of a handful of “bad apples” seem to be only a part of the overall “poison tree.”The dilemma, in this case, is who is responsible for the misbehavior and the inappropriate sales of products and services (often without the customer’s knowledge)? Is strategic growth year-over-year with no allowances for environmental and economic factors a realistic and reasonable goal for corporations? This case is appropriate for undergraduates and graduate students in finance, human resources, management, accounting and investments.

An active case-based learning pedagogical approach is suggested. The materials include a short podcast, video and other materials to allow the faculty to assign pre-class work or to use in the classroom before a case discussion.

This paper aims to center on the analysis of corporate recovery from internal ethical failure with the examination of Wells Fargo and Company. To move beyond self-inflicted reputational damage and regain sales traction, successful turnaround companies have embarked on a four-step corporate recovery process centered on four key words: Replace, Restructure, Redevelop and Re-brand. Wells Fargo is one recent addition to these recovery stories.

This paper uses Wells Fargo and Company as a case model to examine corporate recovery. Wells Fargo is just one example of multinational companies that found themselves victims of internal impropriety, poor leadership supervision and unethical strategic decision-making resulting in significant financial losses, drastic declines in stock price and damaged reputation. Using Wells Fargo as an example from the banking industry, the case study approach is an effective way of assessing the viability of the corporate recovery model in various industries.

The corporate recovery model has served Wells Fargo well over the past few years as the stock price climbed nearly 60% in 2021. In addition, increasingly less public discussion about the account fraud scandal has allowed the reputation of the bank to recover as well. By the last quarter of 2021, the bank saw a 15% increase in revenue and an 86% increase in net income over the previous year. It appears that CEO Scharf is well on his way to turning around the prospects for Wells Fargo and the recovery model has proven again that there is a way through self-inflicted corporate damage.

The recovery story of Wells Fargo and Company adds to the litany of successful corporate recoveries where companies have achieved unprecedented turnarounds by following the model of replacing the leadership, restructuring the organization, redeveloping the strategy and re-branding the product. Implementing this four-pronged recovery strategy can help a company not only survive their specific scandal but also move away from reputational harm and get back on a growth trajectory.

The purpose of this paper is to present detailed algorithms for simulation of individual and group control of production wells in hydrocarbon reservoirs which are implemented in a finite volume-based reservoir simulator.

The algorithm for individual control is described for the multi-lateral multi-connection ones based on the multi-segment model considering cross-flow. Moreover, a general group control algorithm is proposed which can be coupled with any well model that can handle a constraint and returns the flow rates. The performance of oil production process based on the group control criteria is investigated and compared for various cases.

The proposed algorithm for group control of production wells is a non-optimization iterative scheme converging within a few number of iterations. The numerical results of many computer runs indicate that the nominal power of the production wells, in general, is the best group control criterion for the proposed algorithm. The production well group control with a proper criterion can generally improve the oil recovery process at negligible computational costs when compared with individual control of production wells.

Although the group control algorithm is implemented for both production and injection wells in the developed simulator, the numerical algorithm is here described only for production wells to provide more details.

The proposed algorithm can be coupled with any well model providing the fluid flow rates and can be efficiently used for group control of production wells. In addition, the calculated flow rates of the production wells based on the group control algorithm can be used as candidate solutions for the optimizer in the simulation-optimization models. It may reduce the total number of iterations and consequently the computational cost of the simulation-optimization models for the well control problem.

A complete and detailed description of ingredients of an efficient well group control algorithm for the hydrocarbon reservoir is presented. Five group control criteria are extracted from the physical, geometrical and operating conditions of the wells/reservoir. These are the target rate, weighted potential, ultimate rate and introduced nominal power of the production wells. The performance of the group control of production wells with different group control criteria is compared in three different oil production scenarios from a black-oil and highly heterogeneous reservoir.

The analysis of groundwater level below the earth surface is focused on current and future scenarios. To analyze the wells under the threat of water level depletion, a study is conducted on the groundwater level using control charts. To improve watershed management, the important criteria are to increase infiltration as well as water storage capacity. There are 15 over-exploited zones in the study area (Dynamic GW Resources 2011). The purpose of this paper is to help in understanding the importance of wells for improving the water level to a certain extent for sustainable development.

The water levels in the wells are located with the help of x, y, z plotting on the ground using ArcGIS software. This water level mapping is done at a micro-watershed level to increase the clarity of information at the micro-level. In this study, the problem of depleted wells is sorted out, and the water level present in depleted wells pre-monsoon and post-monsoon is evaluated for the two years. Also, water level analysis is done using a control chart to find out the critical wells. On the basis of Poisson distribution, C-chart is used here to analyze the quality of wells and the water levels in those wells to be improved.

The outcome of the C-chart helps to track the wells that can be improved further to increase the water level. This paper presents the study of estimation of appropriate sites to be given importance and the rate of water level depletion to be controlled, which also helps to select a site suitable for artificial restoration by targeting groundwater potential zones.

This paper gives an outlook idea of wells that can be improved and the area that should be given more attention. Analyzing water level depletion helps to identify a suitable site for groundwater restoration using a remote sensing and geographical information system. These measures help the government and public sectors for proper planning and management of natural resources.

In October 2016, Timothy Sloan, the newly appointed CEO of American banking giant Wells Fargo, faced a massive public-relations crisis. A few weeks earlier, a United States government agency had announced the results of its regulatory review of the bank and exposed a shocking practice common in the retail division, in which aggressive community bankers had created more than a million fraudulent accounts and credit card applications on behalf of unaware customers for the past several years. Over the next few weeks, the bank—and Sloan's predecessor, John Stumpf, in particular—suffered from harsh criticism from politicians, journalists, and former employees alike, ultimately forcing Stumpf's resignation. As Sloan sought to minimize the public-image backlash and restore general trust in Wells Fargo, he struggled to construct the best communication strategy for the bank's next chapter.

Multi-well hydrofracturing is a key technology in engineering, and the evaluation, control and optimization of the fracturing network determine the recovery rate of unconventional oil and gas production. In engineering terms, altering well spacing and perforation initiation sequences changes fracture propagation behavior. Fracture propagation can result in fracture-to-fracture and well-to-well interactions. This may be attributed to the interference between fractures caused by squeezing of the reservoir strata. Meanwhile, the stratal movement caused by the propagation of the fractures may lead to either the secondary fracturing of wells with primary fractures or perforation to begin fracturing. Besides, the stratal compression and squeeze of multi-well hydrofracturing will cause earthquakes; the fracture size is different owing to the different fracturing scenarios, and the occurrence of induced microseismic events is still unknown; microseismic events also affect fracture orientation and deflection. If the mechanism of the above mechanical behavior cannot be clarified, optimizing the fracture network and reduce the induced microseismic disaster becomes difficult.

In this study, combined finite element-discrete element models were used to simulate the multi-well hydrofracturing. Numerical cases compared the fracture network, dynamic stratal movement and microseismic events at 50, 75 and 100 m well spacings, respectively, and varying initiation sequence of multiple horizontal wells.

From the results, fracture propagation in multi-well hydrofracturing may simulate the propagation and deflection of adjacent fractures and induce fracture-to-fracture and well-to-well interactions. As the well spacing increases, the effect of fracturing-induced stratal movement and squeezing deformation decrease. In alternate fracturing, starting from a well located in the middle can effectively reduce the influence of stratal movement on fracturing, and the fracturing scenario with cross-perforation can minimize the influence of stratal movement. The stratal movement between multiple wells is positively correlated to microseismic events, which behaviors can be effectively weakened by reducing the strata movement.

The fracture network, thermal-hydro-mechanical coupling, fracturing-induced stratal movement and microseismic events were analyzed. This study analyzed the intersection and propagation behavior of fractures in multi-well hydrofracturing, which can be used to evaluate and study the mechanism of hydrofracturing fracture network propagation in multiple horizontal wells and conduct fracture optimization research to form an optimized hydrofracturing scheme by reasonably arranging the spacing between wells and initiation sequences of perforation clusters.

Researchers often attempt to assess how different features and content will improve the experience of web site users. One assessment technique is to measure the attitude toward the site. A common version of this measure is the Chen and Wells attitude toward the site scale. The purpose of this paper is to determine if there is a difference in performance between that scale and the less used Bruner and Kumar scale so that researchers might use the better of the two related, but different, published scales.

Analysis is done on survey data from an experiment utilizing three different experimental groups that all completed surveys with both the Chen and Wells and the Bruner and Kumar attitude toward the site scales. Scales are assessed for loading and reliability, as well as measures compared for equivalence within groups and used within partial least squares (PLS) models to compare overall model fit.

In all tests, the Bruner and Kumar scale is better than, or equivalent to, the Chen and Wells scale in each comparison.

The research implication is that the Bruner and Kumar scale would be a better choice when selecting scales for future research projects.

Although Bruner and Kumar had previously performed comparisons of the two scales, in a follow‐up article, this is the first paper to compare the two scales between three different groups and demonstrate how the two different scales would perform within the same conceptual model using PLS structural equation modeling. It will help researchers select the best scale for attitude toward the site.

A novel approach using artificial neural networks (ANNs) for predicting temperature profiles evaluated 27 wells in the Gulf of Mexico. Two artificial neural network models were developed that predict the temperature of the flowing fluid at any depth in flowing oil wells. Back propagation was used in training the networks. The networks were tested using measured temperature profiles from the 27 oil wells. Both neural network models successfully mapped the general temperature‐profile trends of naturally flowing oil wells. The highest accuracy was achieved with a mean absolute relative percentage error of 6.0 per cent. The accuracy of the proposed neural network models to predict the temperature profile is compared to that of existing correlations. Many correlations to predict temperature profiles of the wellbore fluid, for single‐phase or multiphase flow, in producing oil wells have been developed using theoretical principles such as energy, mass and momentum balances coupled with regression analysis. The Neural Network 2 model exhibited significantly lower mean absolute relative percentage error than other correlations. Furthermore, in order to test the accuracy of the neural network models to that of Kirkpatrick’s correlation, a mathematical model was developed for Kirkpatrick’s flowing temperature gradient chart.