To offer a theoretical micro-economic perspective, "abatement" can indeed be achieved by reducing the level of output of a company, since in most cases pollution is positively associated with the level of production.
But in such an approach, there is no firm-level hard cost, at least not in the mid- to long-term (i.e. abstracting for transitory scale-down costs): The firm does not engage in any abatement activity (which would create direct costs for it) - it simply produces less, and by that alone, abatement happens.
A cost-benefit analysis at the social level regarding the trade-off "lower production - less pollution" is another matter. At the micro-economic level, "abatement cost" usually refers to cost born by private businesses to "clean-up".
But in economics, it is more than that: it is more realistic to wonder, what would it take (in terms of incurred costs at firm-level) to not sacrifice output while achieving abatement? And optimally what could be the minimum cost to achieve abatement without sacrificing output?
But this question already has inherently the concept of a constant level of output in it, or more properly, a given level of output, exactly as any other cost-minimization problem analyzed in economics.
More formally, assume a production function $q = f(\mathbf x)$ and a "pollution production" function $e = h(\mathbf x, z)$ where $\mathbf x$ are factors used in production, while $z$ is resources used for abatement, i.e. we have $\partial e / \partial z <0$.
Then, the enhanced cost-minimization problem of the firm can be written with respect to a given level of production and a given level of pollution (given, not constant).
$$\min TC = \mathbf p'\mathbf x + p_zz$$
$$\text {s.t.} f(\mathbf x) = \bar q, \;\;\; \bar e = h(\mathbf x, z)$$
The Lagrangean of the problem is
$$L = \mathbf p'\mathbf x + p_zz + \lambda[\bar q - f(\mathbf x)] + \mu [\bar e -h(\mathbf x, z) ]$$
which will lead to the first-order conditions
$$\mathbf p -\lambda \nabla_x f(\mathbf x) =\mu \nabla_x h(\mathbf x, z)$$
and
$$p_z = \mu \frac {\partial h(\mathbf x, z)}{\partial z}$$
These will give us some cost-minimizing relations
$$\mathbf x^* = g_1(z^*, \bar q, \bar e, \mathbf p, p_z);\;\; z^* = g_2(\mathbf x^*, \bar q, \bar e, \mathbf p, p_z)$$
and eventually
$$\mathbf x^* = \tilde g_1(\bar q, \bar e, \mathbf p, p_z);\;\; z^* = \tilde g_2(\bar q, \bar e, \mathbf p, p_z)$$
where also present are understood to be the various parameters of $f$ and of $h$.
These determine input absorption for given level of output and pollution, and so also total such cost
$$TC^* = \mathbf p'\mathbf x^* + p_zz^*$$
Then the marginal abatement cost for given level of output is (the negative of)
$$\frac {\partial TC^*}{\partial \bar e} = \mathbf p'\nabla_{\bar e}\tilde g_1(\bar q, \bar e, \mathbf p, p_z) + p_z\frac {\partial \tilde g_2(\bar q, \bar e, \mathbf p, p_z)}{\partial \bar e}$$
Note that here the concept takes into account not only how costs may change due to a different level of employment for the abatement resource $z$, but also how this will affect the input-factor mix for output production, and so the output production cost.