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GIS for Oil & Gas Conference 2002 | GIS for Oil & Gas Conference 2001 | GIS for Oil & Gas Conference 2000






GIS for Oil & Gas


2001
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Managing the engineering/environmental planning interface process for pipeline projects

Kevin R. Prestage
Foster Wheeler Environmental Corporation
133 Federal Street
Boston, Massachusetts 02110


Introduction
As the energy industry moves into a demanding climate fueled by the high cost of electricity, rolling blackouts, and battles for market retention and expansion, pipeline projects designed to alleviate the pressure must be executed more efficiently then ever before. For better and faster execution, companies are reaching for the newest technologies that will provide advantages in data collection, data analysis, and subsequent environmental planning, design and construction. A direct result is the energy industry’s oil and gas pipeline sector reaching for Geographic Information Technologies (GIT) that will provide them with ways to accelerate project execution and give them an edge over the competition.

A typical pipeline project (transmission) is “built” using a team of engineers and environmental planners working together, sometimes using the same design drawings, for a common goal; installation of a pipeline. But despite what would appear to be very similar processes, the engineering and environmental planning of pipeline projects are very technical in their own respects. The team’s interface between engineering and environmental planning requires careful management to achieve the goals of each group. The disciplines constantly share geospatial data, each building upon what the other produces. The application of GIT to pipeline projects further links these two disciplines and creates new challenges that must be properly addressed to gain GIT’s advantages.

This paper will discuss the interface between pipeline engineers and environmental planners from the perspective of an environmental planner. This paper’s goal is to identify the key environmental geospatial components of a pipeline project and review how they fit into the design, permitting, and licensing processes. The intent of this paper is to provide the pipeline engineer with an understanding of environmental planning’s geospatial issues; essentially this paper is a tool for pipeline engineers to understand the environmental process.

Outline
Within pipeline projects, engineering and environmental data at times share the same space on drawings and in certain circumstances are components of each another. This interdependency requires the team to carefully craft a plan to exact information from each other’s discipline where the data requested results in the data they receive, and where data generated by one discipline is handled by the other in a manner that maintains it’s integrity. This leads us to the first topic; Understanding Environmental Data.

Fundamentally, obtaining an environmental permit for construction of a pipeline project requires the proponent to search for and identify environmental resources, and then quantify impacts, if any, on those resources. Identifying environmental resources can come from existing data sets (i.e. US Fish & Wildlife Service inventories) and/or from field surveys. The process of collecting field data is labor intensive and when applied appropriately, can be greatly aided by GIT. The second and third topics discussed will be: Data Collection with GIT; and Analyzing Environmental Data.

As mentioned above, there is a significant interdependency for geospatial data between the engineering and environmental planning disciplines. Beyond the need for both disciplines to produce information that the other will build upon, there is the need for the project to be able to seamlessly exchange information.

As with any type of project, “change” is nearly inevitable. Pipeline projects will typically reroute, and/or change the ancillary facilities more than once during the course of the project’s development. The impact of these changes almost always requires the project’s environmental planning to adjust their applications for permits and/or licenses. The last topic covered will be: Managing the Geospatial Interface & Planning for Change.

Understanding environmental data
Understanding data used by environmental planning consists of learning why the data are needed, learning what the data represent, and finally learning what engineering data are required to complete the environmental data. It is also very important to understand that the requirements of environmental data vary from regulatory agency to regulatory agency and even federally defined environmental resources vary regulatory district to regulatory district. As a result, what may have applied to one project may not necessarily apply to the next.

The first step in understanding environmental data is to understand why it is needed. A typical pipeline project requires a permit from the US Army Corps of Engineers (USACE) for construction in “Waters of the US”, more commonly known as wetlands and streams (as mandated by the Clean Water Act). The project may also require clearance that there is no significant impact to federally listed endangered species by the US Fish & Wildlife Service (as mandated by the Endangered Species Act), and require a clearance that there is no significant impact to cultural resources by the State Historic Preservation Officer (as mandated by the National Historic Preservation Act).

If the project falls under the jurisdiction of the Federal Energy Regulatory Commission (FERC), it will typically require the preparation of reports summarizing the impacts to many additional environmental resources including: residential areas; drinking water supplies; land uses; and geologic resources. All of this information is necessary for the federal lead agency to prepare its required impact analysis under the National Environmental Policy Act. Table 1 summarizes representative environmental data requirements for a construction project.

Table 1 Typical Environmental Data Required for Environmental Planning
Environmental Data Regulatory Agency Spatial Accuracy Comment
Waters of the US (streams, swamps, ponds) US Army Corps of Engineers sub-meter survey (but sub-centimeter survey can be required) most common environmental data
Endangered Species US Fish & Wildlife Service varies, but typically sub-meter survey data should not be released to the public
Cultural Resources State Historic Preservation Officer sub-meter survey (but can vary) data should not be released to the public
Drinking Water Sources FERC typically sub-meter survey is best for analysis purposes
Land Use FERC digitizing at a variety of scales is acceptable
Geologic Resources FERC typically sub-meter survey is best for analysis purposes
Residences FERC typically sub-meter survey is best for analysis purposes


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