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Introduction This chapter is organized to help perform acidizing on a well candidate in a logical step-by-step process and then select and execute an appropriate chemical treatment for the oil/gas well. The guidelines are practical in intent and avoid the more complicated acid reaction chemistries, although such investigations and the use of geochemical models are recommended for more complicated formations or reservoir conditions. Effective acidizing is guided by practical limits in volumes and types of acid and procedures so as to achieve an optimum removal of the formation damage around the wellbore. Most of this chapter is an outgrowth of field case studies and of concepts derived from experimental testing and research. Justification for the practices and recommendations proposed herein are contained in the referenced documents. The reader is referred to the author's previous papers on matrix acidizing for references published before 1990. Concepts and techniques presented have ...
The generic term "intelligent well" is used to signify that some degree of direct monitoring and/or remote control equipment is installed within the well completion. Until the late 1980s, remote monitoring was generally limited to surface pressure transducers around the tree and surface choke, with remote completion control restricted to the hydraulic control of safety valves and (electro-) hydraulic control of tree valves. The first computer-assisted operations optimized gas lifted production by remote control near the tree and assisted with pumping well monitoring and control. Permanent downhole pressure and temperature gauges are commonly run as part of the completion system and combined with data transmission infrastructure. With the development, successful implementation, and improving reliability of a variety of permanently installed sensors, it was perceived that the potential to exercise direct control of inflow to the wellbore would provide significant and increased economic benefit.
Drilling automation differs from rig automation. Instead of mechanized or automated machinery that deals with surface processes, drilling automation is centered on the downhole activities necessary in the actual drilling of an oil or gas well. Today, this involves the linking of surface and downhole measurements with near real-time predictive models to improve the safety and efficiency of the drilling process. SPE volunteers formed the Drilling Systems Automation Technical Section (DSATS) in 2008. The purpose of DSATS is to accelerate the development and implementation of drilling systems automation in well construction by supporting initiatives which communicate the technology, recommend best practices, standardize nomenclature and help define the value of drilling systems automation.
The Merriam-Webster Dictionary defines simulate as assuming the appearance of without the reality. Simulation of petroleum reservoir performance refers to the construction and operation of a model whose behavior assumes the appearance of actual reservoir behavior. The model itself is either physical (for example, a laboratory sandpack) or mathematical. A mathematical model is a set of equations that, subject to certain assumptions, describes the physical processes active in the reservoir. Although the model itself obviously lacks the reality of the reservoir, the behavior of a valid model simulates--assumes the appearance of--the actual reservoir. The purpose of simulation is estimation of field performance (e.g., oil recovery) under one or more producing schemes. Whereas the field can be produced only once, at considerable expense, a model can be produced or run many times at low expense over a short period of time. Observation of model results that represent different producing ...
Reservoir simulation is a widely used tool for making decisions on the development of new fields, the location of infill wells, and the implementation of enhanced recovery projects. It is the focal point of an integrated effort of geosciences, petrophysics, reservoir, production and facilities engineering, computer science, and economics. Geoscientists using seismic, well-log, outcrop analog data and mathematical models are able to develop geological models containing millions of cells. These models characterize complex geological features including faults, pinchouts, shales, and channels. Simulation of the reservoir at the fine geologic scale, however, is usually not undertaken except in limited cases.
Petroleum reservoir management is a dynamic process that recognizes the uncertainties in reservoir performance resulting from our inability to fully characterize reservoirs and flow processes. It seeks to mitigate the effects of these uncertainties by optimizing reservoir performance through a systematic application of integrated, multidisciplinary technologies. It approaches reservoir operation and control as a system, rather than as a set of disconnected functions. As such, it is a strategy for applying multiple technologies in an optimal way to achieve synergy. Reservoir management has been in place in most producing organizations for several years.
If least-squares linear regression is used to compute N in Step 5, an equation analogous to Eq. 17 is used (where Eow is substituted for Eowf). This solution method is iterative because the material-balance error must be minimized. This calculation is carried out with a trial-and-error method or a minimization algorithm. Least-squares linear regression and minimization algorithms have become standard features in commercial spreadsheets.
BP has acquired UK-based digital energy business Open Energi. The company's digital platform uses real-time data to optimize the performance of energy assets. It connects customers to power markets with the goal of providing flexibility at times of low renewable-energy generation and during price peaks. The share of primary energy from renewables is projected to increase from around 5% in 2018 to 60% by 2050 in the net-zero scenario set out in BP's Energy Outlook. However, because generation from these sources depends on weather conditions, the growth will also bring increased market and price volatility.
The US Department of Homeland Security's (DHS) Transportation Security Administration (TSA) has issued a second Security Directive related to the ongoing cybersecurity threat against pipeline systems that requires owners and operators of TSA-designated critical pipelines to implement several protections against cyber intrusions. The second directive requires owners and operators of critical pipelines that transport hazardous liquids and natural gas to implement specific mitigation measures to protect against ransomware attacks and other known threats to information technology and operational technology systems, develop and implement a cybersecurity contingency and recovery plan, and conduct a cybersecurity architecture design review. "The lives and livelihoods of the American people depend on our collective ability to protect our nation's critical infrastructure from evolving threats," said Secretary of Homeland Security Alejandro N. Mayorkas. "Through this Security Directive, DHS can better ensure the pipeline sector takes the steps necessary to safeguard their operations from rising cyberthreats, and better protect our national and economic security. Public/private partnerships are critical to the security of every community across our country, and DHS will continue working closely with our private sector partners to support their operations and increase their cybersecurity resilience."